The US Consumer Phone file contains phone numbers, mobile and landline, tied to an individual in the Consumer Database. The fields available include the phone number, phone type, mobile carrier, and Do Not Call registry status.

All phone numbers can be processed and cleansed using telecom carrier data. The telecom data, including phone and texting activity, porting instances, carrier scoring, spam, and known fraud activity, comprise a proprietary Phone Quality Level (PQL), which is a data-science derived score to ensure the highest levels of deliverability at a fraction of the cost compared to competitors.

We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.

Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

The reverse phone number lookup market is experiencing robust growth, driven by increasing concerns over online privacy and safety, the rise of scams and harassment via unknown numbers, and the need for efficient background checks. The market's size in 2025 is estimated at $1.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several factors. The increasing adoption of smartphones and readily available mobile apps offering this service contributes significantly. Furthermore, businesses across various sectors, from law enforcement and debt collection agencies to background check companies and private investigators, rely on reverse phone lookup services for verifying identities and locating individuals. This widespread adoption across both personal and enterprise applications boosts market expansion. The market segmentation, comprised of cloud-based and on-premise solutions, alongside personal and enterprise applications, indicates diverse user needs and preferences, further fueling the market's growth potential. However, market growth is not without challenges. Data privacy concerns and regulations, such as GDPR and CCPA, pose significant restraints. The potential for inaccuracies in the data provided by some services and the emergence of sophisticated caller ID spoofing techniques also present challenges. Despite these restraints, the overall trend indicates a continuously expanding market, with ongoing technological advancements likely to enhance accuracy and user experience, driving further growth in the coming years. The projected market size in 2033 is estimated to surpass $5 billion, emphasizing the substantial growth potential and market attractiveness. Continued innovation and adaptation to evolving regulatory landscapes will be crucial for sustained success in this dynamic sector.

BatchData is both a data and technology solution helping businesses serving the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2C contact data for US property owners, including in-depth intelligence and actionable insights related to the property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

BatchData US Phone Number Data leads the industry in right-party-contact accuracy and match rate to a specific property. Given a specific location, demographic profile and location criteria, we return a list of property owner names, phone numbers, emails, mailing addresses, carrier information, DNC status, and litigation status. Over 600+ additional surrounding data points including property information, demographics, and life events can be included with phone number data

Lead Generation: Call centers, marketing agencies, real estate businesses, and many other products and services trust the combination of BatchData and BatchDialer products to build, launch, and deploy successful calling campaigns, and see better results and happier agents with better phone number data.

Contact Enrichment: A suite of developer-friendly APIs make it easy to deploy our accurate phone numbers to verify customer phone numbers, improve compliance, and empower revenue teams with CRM contact enrichment.

Corporate Property Unmasking: Proprietary skip-tracing algorithms help companies identify and engage with the true human owner of a residential or commercial property behind the S-Corps, trusts, and LLC's.

Vast Phone Number Database: Access 255 million US phone numbers for comprehensive coverage, ensuring your business never misses an opportunity.

Property Ownership Insights: Gain valuable property ownership information, connecting phone numbers to the associated residential or commercial properties, enabling targeted real estate operations.

Demographic Data: Understand your contacts better with demographic insights, helping you tailor your offerings and marketing campaigns to specific audiences.

Additional Contact Details: Enhance your outreach by having access to mailing addresses and email addresses, ensuring multi-channel communication.

Phone Number Verification: Verify phone numbers to enhance security and ensure accurate communication, reducing fraud and improving trust in digital interactions.

Sign Up for a free trial: https://rampedup.io/sign-up-%2F-log-in - 7 Days and 50 Credits to test our quality and accuracy.

These are the fields available within the RampedUp Global dataset.

CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

Download our data dictionary: https://rampedup.io/our-data

Finding clean, high-quality B2B contact data shouldn't feel like going to the dentist. We make it easy for companies of all sizes, ranging from startups to enterprises globally to access high-quality B2B contact data, lead data, and business contact data for any company, any industry, and any job title.

Nymblr offers access to 140 million global verified B2B contacts with valid work emails, personal emails, work phones & direct dials, and social profiles. Our platform and API make it easy to access the highest-quality B2B Data, Business Contact Data, Lead Data, Work & Personal Email Data, and Phone data.

Easily access our data via API or directly in our platform which makes it fast and easy to search for B2B contacts and B2B leads using multiple filters, including:

Job Title Seniority Level (C-Level/Owner, VP, Director, etc.) Job Department (Sales, Accounting, Marketing, Finance, etc.) Skills Company Name/Company Domain Company Industry Company SIC Company Revenue Company Size Location (Country, State, and City)

Contact us to get a free trial today! No commitments required.

The global reverse phone number lookup market is projected to exhibit a CAGR of XX% during the forecast period, 2025-2033. The market is expected to reach a value of USD XXX million by 2033. Rapidly growing demand from various sectors such as banking, financial services, and insurance (BFSI), healthcare, retail, and law enforcement is driving the growth of the market. Additionally, the increasing adoption of mobile devices and the proliferation of online scams and fraud are further contributing to the market's growth. Key market players include TruthFinder, Instant Checkmate, Intelius, Ussearch, TruePeopleSearch, PeopleFinders, Spokeo, Spy Dialer, ZoSearch, White Pages, NumLookup, Truecaller, ZLOOKUP, NumLooker, RevealName, AnyWho, PeepLookup, That'sThem, NumberGuru, Radaris, BeenVerified, CocoFinder, InfoTracer, and Social Catfish. Major market trends include the emergence of AI-powered solutions, the adoption of cloud-based services, and the growing demand for location-based services. North America held the largest market share in 2025, followed by Europe and Asia Pacific. The market is expected to continue to grow in emerging economies, as the adoption of reverse phone number lookup services increases in these regions.

Explore the historical Whois records related to free-phone-number.com (Domain). Get insights into ownership history and changes over time.

Tel: Number of Public Telephone: Hunan data was reported at 446.561 Unit th in 2017. This records a decrease from the previous number of 488.000 Unit th for 2016. Tel: Number of Public Telephone: Hunan data is updated yearly, averaging 749.450 Unit th from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 1,125.000 Unit th in 2007 and a record low of 164.000 Unit th in 2001. Tel: Number of Public Telephone: Hunan data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.ICA: Telephone: Number of Public Telephone: By Region.

Introducing Our Comprehensive Global B2B Contact Data Solution

In today’s rapidly evolving business landscape, having access to accurate, comprehensive, and actionable information is not just an advantage—it’s a necessity. Introducing our Global B2B Contact Data Solution, meticulously crafted to empower businesses worldwide by providing them with the tools they need to connect, expand, and thrive in the global market.

What Distinguishes Our Data?

Our Global B2B Contact Data is a cut above the rest, designed with a laser focus on identifying and connecting with pivotal decision-makers. With a database of over 220 million meticulously verified contacts, our data goes beyond mere numbers. Each entry includes business emails and phone numbers that have been thoroughly vetted for accuracy, ensuring that your outreach efforts are both meaningful and effective. This data is a key asset for businesses looking to forge strong connections that are crucial for global expansion and success.

Unparalleled Data Collection Process

Our commitment to quality begins with our data collection process, which is rooted in a robust and reliable approach: - Dynamic Publication Sites: We draw data from ten dynamic publication sites, serving as rich sources for the continuous and real-time creation of our global database. - Contact Discovery Team: Complementing this is our dedicated research powerhouse, the Contact Discovery Team, which conducts extensive investigations to ensure the accuracy and relevance of each contact. This dual-sourcing strategy guarantees that our Global B2B Contact Data is not only comprehensive but also trustworthy, offering you the reliability you need to make informed business decisions.

Versatility Across Diverse Industries

Our Global B2B Contact Data is designed with versatility in mind, making it an indispensable tool across a wide range of industries: - Finance: Enable precise targeting for investment opportunities, partnerships, and market expansion. - Manufacturing: Identify key players and suppliers in the global supply chain, facilitating streamlined operations and business growth. - Technology: Connect with innovators and leaders in tech to foster collaborations, drive innovation, and explore new markets. - Healthcare: Access critical decision-makers in healthcare for strategic partnerships, market penetration, and research collaborations. - Retail: Engage with industry leaders and stakeholders to enhance your retail strategies and expand your market reach. - Energy: Pinpoint decision-makers in the energy sector to explore new ventures, investments, and sustainability initiatives. - Transportation: Identify key contacts in logistics and transportation to optimize operations and expand into new territories. - Hospitality: Connect with executives and decision-makers in hospitality to drive business growth and market expansion. - And Beyond: Our data is applicable across virtually every industry, ensuring that no matter your sector, you have the tools needed to succeed.

Seamless Integration for Holistic Insights

Our Global B2B Contact Data is not just a standalone resource—it’s a vital component of a larger data ecosystem that offers a panoramic view of the business landscape. By seamlessly integrating into our wider data collection framework, our Global B2B Contact Data enables you to: - Access Supplementary Insights: Gain additional valuable insights that complement your primary data, providing a well-rounded understanding of market trends, competitive dynamics, and global key players. - Informed Decision-Making: Whether you’re identifying new market opportunities, analyzing industry trends, or planning global expansion, our data equips you with the insights needed to make strategic, data-driven decisions.

Fostering Global Connections

In today’s interconnected world, relationships are paramount. Our Global B2B Contact Data acts as a powerful conduit for establishing and nurturing these connections on a global scale. By honing in on decision-makers, our data ensures that you can effortlessly connect with the right individuals at the most opportune moments. Whether you’re looking to forge new partnerships, secure investments, or venture into uncharted B2B territories, our data empowers you to build meaningful and lasting business relationships.

Commitment to Privacy and Security

We understand that privacy and security are of utmost importance when it comes to handling data. That’s why we uphold the highest standards of privacy and security, ensuring that all data is managed ethically and in full compliance with global privacy regulations. Businesses can confidently leverage our data, knowing that it is handled with the utmost care and respect for legal requirements.

Continuous Enhancement for Superior Data Quality

Adaptability and continuous improvement are at the core of our ethos. We are committed to consistently enhancing our B2B C...

Discover historical ownership and registration details by conducting a reverse Whois lookup for the phone number 13065251322.

Tel: Number of Public Telephone: Hubei data was reported at 637.254 Unit th in 2017. This records a decrease from the previous number of 655.000 Unit th for 2016. Tel: Number of Public Telephone: Hubei data is updated yearly, averaging 856.050 Unit th from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 1,332.000 Unit th in 2005 and a record low of 104.000 Unit th in 1999. Tel: Number of Public Telephone: Hubei data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under Global Database’s China – Table CN.ICA: Telephone: Number of Public Telephone: By Region.

With the phone book era far in the past, database and directory publishers have been forced to transform their business approach, focusing on their digital presence. Despite many publishers rapidly moving away from print services, they are experiencing immovable competition from online search engines and social media platforms within the digital space, negatively affecting revenue growth potential. Industry revenue has been eroding at a CAGR of 4.4% over the past five years and in 2024, a 3.9% drop has led to the industry revenue totaling $4.4 billion. Profit continues to drop in line with revenue, accounting for 4.7% of revenue as publishers invest more in their digital platforms. Interest in printed directories has disappeared as institutional clients and consumers have continued their shift to convenient online resources. Declining demand for print advertising has curbed revenue growth and online revenue has only slightly mitigated this downturn. Though many traditional publishers, such as Yellow Pages, now operate under parent companies with digital resources, directory publishers remain low on the list of options businesses have to choose from in digital advertising. Due to the convenience and connectivity that Facebook and Google services offer, traditional directory publishers have a limited ability to compete. Many providers have rebranded and tailored their services toward client needs, though these efforts have only had a marginal impact on revenue growth. The industry is forecast to decline at an accelerated CAGR of 5.2% over the next five years, reaching an estimated $3.4 billion in 2029, as businesses and consumers continually turn to digital alternatives for information and advertising opportunities. As AI and digital technology innovation expands, social media company products will likely improve at a faster rate than the digital offerings that directory publishers can provide. Though these companies will seek external partnerships to cut costs, they face an uphill battle to boost their visibility and reverse consumer habit trends.

Discover historical ownership and registration details by conducting a reverse Whois lookup for the phone number 15708176576.

Discover historical ownership and registration details by conducting a reverse Whois lookup for the phone number 442070102000.

Discover historical ownership and registration details by conducting a reverse Whois lookup for the phone number 9211111111.

Discover historical ownership and registration details by conducting a reverse Whois lookup for the phone number 60392228688.

The Hungarian Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 555 adult Hungarian speakers (280 males, 275 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2) The second set comprises the recordings of 50 child Hungarian speakers (32 boys, 18 girls), recorded over 4 microphone channels in 1 recording environment (children room).

This database is partitioned into 29 DVDs (first set) and 3 DVDs (second set).

Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.

Each speaker uttered the following items (over 290 items for adults and over 210 items for children): Calibration data: 6 noise recordings The “silence word” recording Free spontaneous items (adults only): 5 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics) 17 Elicited spontaneous items (adults only): 3 dates, 2 times, 3 proper names, 2 city names, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language Read speech: 30 phonetically rich sentences uttered by adults and 60 uttered by children 5 phonetically rich words (adults only) 4 isolated digits 1 isolated digit sequence 4 connected digit sequences 1 telephone number 3 natural numbers 1 money amount 2 time phrases (T1 : analogue, T2 : digital) 3 dates (D1 : analogue, D2 : relative and general date, D3 : digital) 3 letter sequences 1 proper name 2 city or street names 2 questions 2 special keyboard characters 1 Web address 1 email address 208 application specific words and phrases per session (adults) 74 toy commands, 14 phone commands and 34 general commands (children)

The following age distribution has been obtained: Adults: 273 speakers are between 15 and 30, 141 speakers are between 31 and 45, 141 speakers are over 46. Children: 22 speakers are between 8 and 10, and 28 speakers are between 11 and 15.

A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

South Ossetia and Abkhazia were not included for the safety of the interviewers. In addition, very remote mountainous villages or those with less than 100 inhabitants were also excluded. The excluded areas represent approximately 8 percent of the total population.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Georgia is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

The Polish Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 550 adult Polish speakers (286 males, 264 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2) The second set comprises the recordings of 50 child Polish speakers (25 boys, 25 girls), recorded over 4 microphone channels in 1 recording environment (children room).

This database is partitioned into 26 DVDs (first set) and 3 DVDs (second set).

The speech databases made within the Speecon project were validated by SPEX, the Netherlands, to assess their compliance with the Speecon format and content specifications. Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.

Each speaker uttered the following items: Calibration data: 6 noise recordings The “silence word” recording Free spontaneous items (adults only): 3 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics) 17 Elicited spontaneous items (adults only): 3 dates, 2 times, 3 proper names, 2 city name, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language Read speech: 30 phonetically rich sentences uttered by adults and 60 uttered by children 5 phonetically rich words (adults only) 4 isolated digits 1 isolated digit sequence 4 connected digit sequences 1 telephone number 3 natural numbers 1 money amount 2 time phrases (T1 : analogue, T2 : digital) 3 dates (D1 : analogue, D2 : relative and general date, D3 : digital) 3 letter sequences 1 proper name 2 city or street names 2 questions 5 special keyboard characters (2 by children) 1 Web address 1 email address 208 application specific words and phrases per session (adults) 74 toy commands, 34 general commands and 14 phone commands (children)

The following age distribution has been obtained: Adults: 286 speakers are between 15 and 30, 165 speakers are between 31 and 45, 79 speakers are between 46 and 60, and 20 speakers are over 60. Children: 23 speakers are between 8 and 10, 27 speakers are between 11 and 14.

A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

The Finnish Speecon database is divided into 2 sets: 1) The first set comprises the recordings of 550 adult Finnish speakers (273 males, 277 females), recorded over 4 microphone channels in 4 recording environments (office, entertainment, car, public place). 2) The second set comprises the recordings of 50 child Finnish speakers (25 boys, 25 girls), recorded over 4 microphone channels in 1 recording environment (children room). This database is partitioned into 22 DVDs (first set) and 3 DVDs (second set).The speech databases made within the Speecon project were validated by SPEX, the Netherlands, to assess their compliance with the Speecon format and content specifications.Each of the four speech channels is recorded at 16 kHz, 16 bit, uncompressed unsigned integers in Intel format (lo-hi byte order). To each signal file corresponds an ASCII SAM label file which contains the relevant descriptive information.Each speaker uttered the following items:Calibration data: 6 noise recordingsThe “silence word” recordingFree spontaneous items (adults only):3 minutes (session time) of free spontaneous, rich context items (story telling) (an open number of spontaneous topics out of a set of 30 topics)17 Elicited spontaneous items (adults only):3 dates, 2 times, 3 proper names, 2 city name, 1 letter sequence, 2 answers to questions, 3 telephone numbers, 1 language Read speech:30 phonetically rich sentences uttered by adults and 60 uttered by children5 phonetically rich words (adults only)4 isolated digits1 isolated digit sequence4 connected digit sequences1 telephone number3 natural numbers1 money amount2 time phrases (T1 : analogue, T2 : digital)3 dates (D1 : analogue, D2 : relative and general date, D3 : digital)3 letter sequences1 proper name2 city or street names2 questions2 special keyboard characters 1 Web address1 email address221 application specific words and phrases per session (adults)74 toy commands and 48 general commands (children)The following age distribution has been obtained: Adults: 255 speakers are between 15 and 30, 213 speakers are between 31 and 45, 76 speakers are between 46 and 60, and 6 speakers are over 60.Children: 25 speakers are between 8 and 10, 25 speakers are between 11 and 14.A pronunciation lexicon with a phonemic transcription in SAMPA is also included.