Forecast: Household Expenditure on Mobile Voice and Data Services in the UK 2024 - 2028 Discover more data with ReportLinker!

What’s Included

Welcome to the English Language General Conversation Speech Dataset, a comprehensive and diverse collection of voice data specifically curated to advance the development of English language speech recognition models, with a particular focus on British accents and dialects.

With high-quality audio recordings, detailed metadata, and accurate transcriptions, it empowers researchers and developers to enhance natural language processing, conversational AI, and Generative Voice AI algorithms. Moreover, it facilitates the creation of sophisticated voice assistants and voice bots tailored to the unique linguistic nuances found in the English language spoken in United Kingdom.

This training dataset comprises 30 hours of audio recordings covering a wide range of topics and scenarios, ensuring robustness and accuracy in speech technology applications. To achieve this, we collaborated with a diverse network of 40 native English speakers from different states/provinces of United Kingdom. This collaborative effort guarantees a balanced representation of British accents, dialects, and demographics, reducing biases and promoting inclusivity.

Each audio recording captures the essence of spontaneous, unscripted conversations between two individuals, with an average duration ranging from 15 to 60 minutes. The speech data is available in WAV format, with stereo channel files having a bit depth of 16 bits and a sample rate of 8 kHz. The recording environment is generally quiet, without background noise and echo.

In addition to the audio recordings, our dataset provides comprehensive metadata for each participant. This metadata includes the participant's age, gender, country, state, and dialect. Furthermore, additional metadata such as recording device detail, topic of recording, bit depth, and sample rate will be provided.

The metadata serves as a valuable tool for understanding and characterizing the data, facilitating informed decision-making in the development of English language speech recognition models.

This dataset provides a manual verbatim transcription of each audio file to enhance your workflow efficiency. The transcriptions are available in JSON format. The transcriptions capture speaker-wise transcription with time-coded segmentation along with non-speech labels and tags.

Our goal is to expedite the deployment of English language conversational AI and NLP models by offering ready-to-use transcriptions, ultimately saving valuable time and resources in the development process.

We understand the importance of collecting data in various environments to build robust ASR models. Therefore, our voice dataset is regularly updated with new audio data captured in diverse real-world conditions.

If you require a custom training dataset with specific environmental conditions such as in-car, busy street, restaurant, or any other scenario, we can accommodate your request. We can provide voice data with customized sample rates ranging from 8kHz to 48kHz, allowing you to fine-tune your models for different audio recording setups. Additionally, we can also customize the transcription following your specific guidelines and requirements, to further support your ASR development process.

This audio dataset, created by FutureBeeAI, is now available for commercial use.

Whether you are training or fine-tuning speech recognition models, advancing NLP algorithms, exploring generative voice AI, or building cutting-edge voice assistants and bots, our dataset serves as a reliable and valuable resource.

This statistic depicts the average monthly household spend on fixed voice and data services in the United Kingdom (UK) from 2007 to 2018. In 2018, the average monthly household spend on fixed voice services was 40.59 British pounds.

Forecast: Data and Voice Mobile Broadband Subscriptions in the UK 2023 - 2027 Discover more data with ReportLinker!

Introduction

This UK English Call Center Speech Dataset for the Healthcare industry is purpose-built to accelerate the development of English speech recognition, spoken language understanding, and conversational AI systems. With 30 Hours of unscripted, real-world conversations, it delivers the linguistic and contextual depth needed to build high-performance ASR models for medical and wellness-related customer service.

Created by FutureBeeAI, this dataset empowers voice AI teams, NLP researchers, and data scientists to develop domain-specific models for hospitals, clinics, insurance providers, and telemedicine platforms.

Speech Data

The dataset features 30 Hours of dual-channel call center conversations between native UK English speakers. These recordings cover a variety of healthcare support topics, enabling the development of speech technologies that are contextually aware and linguistically rich.

Topic Diversity

The dataset spans inbound and outbound calls, capturing a broad range of healthcare-specific interactions and sentiment types (positive, neutral, negative).

These real-world interactions help build speech models that understand healthcare domain nuances and user intent.

Transcription

Every audio file is accompanied by high-quality, manually created transcriptions in JSON format.

Metadata

Each conversation and speaker includes detailed metadata to support fine-tuned training and analysis.

Usage and Applications

This dataset can be used across a range of healthcare and voice AI use cases:

Introduction

This UK English Call Center Speech Dataset for the BFSI (Banking, Financial Services, and Insurance) sector is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English-speaking customers. Featuring over 30 hours of real-world, unscripted audio, it offers authentic customer-agent interactions across a range of BFSI services to train robust and domain-aware ASR models.

Curated by FutureBeeAI, this dataset empowers voice AI developers, financial technology teams, and NLP researchers to build high-accuracy, production-ready models across BFSI customer service scenarios.

Speech Data

The dataset contains 30 hours of dual-channel call center recordings between native UK English speakers. Captured in realistic financial support settings, these conversations span diverse BFSI topics from loan enquiries and card disputes to insurance claims and investment options, providing deep contextual coverage for model training and evaluation.

Topic Diversity

This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world BFSI voice coverage.

This variety ensures models trained on the dataset are equipped to handle complex financial dialogues with contextual accuracy.

Transcription

All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

These transcriptions are production-ready, making financial domain model training faster and more accurate.

Metadata

Rich metadata is available for each participant and conversation:

The United Kingdom: Voice and accountability index (-2.5 weak; 2.5 strong): The latest value from 2023 is 1.26 points, unchanged from 1.26 points in 2022. In comparison, the world average is -0.03 points, based on data from 192 countries. Historically, the average for the United Kingdom from 1996 to 2023 is 1.32 points. The minimum value, 1.2 points, was reached in 1998 while the maximum of 1.6 points was recorded in 2004.

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UK VOIP Market Size 2025-2029

The UK VOIP market size is forecast to increase by USD 5.3 billion at a CAGR of 9.3% between 2024 and 2029.

The Voice over Internet Protocol (VoIP) market is experiencing significant growth, driven by the increasing number of mobile computing devices and the emerging use of VOIP assistants. These trends reflect the broader shift towards remote work and digital communication, fueled by the COVID-19 pandemic and the increasing availability of high-speed internet. However, the market also faces challenges that could impact its growth potential. Regulatory hurdles, particularly regarding data privacy and security, can hinder adoption in certain industries and regions. Additionally, signaling issues, such as call quality and reliability, can deter businesses from fully embracing VOIP technology. With the advent of 5G technology, devices have become more homogeneous, enabling seamless virtual communication services.
To capitalize on the market's opportunities and navigate these challenges effectively, companies must prioritize innovation, invest in robust security measures, and collaborate with regulatory bodies to ensure compliance. By doing so, they can differentiate themselves in a competitive landscape and position themselves as trusted providers of reliable and secure VOIP solutions. Artificial intelligence is also playing a pivotal role in enhancing communication efficiency and customer service.

What will be the size of the UK VOIP Market during the forecast period?

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In the dynamic VOIP market, IT services and network infrastructure play a pivotal role in ensuring seamless communication. Cloud computing has significantly influenced VOIP adoption, enabling businesses to access advanced call management features and scalability. Network security and data privacy are paramount concerns, with VOIP gateways providing essential security auditing and IP address management. Network implementation and optimization are ongoing processes, with network management tools facilitating call center analytics and disaster recovery planning. This cost-effective solution has led to the widespread adoption of VoIP services globally.
IT support and network design are crucial for network architecture, while data backup and business continuity planning ensure uninterrupted operations. Network performance monitoring and data security are integral components of VoIP, safeguarding against potential threats and maintaining network uptime.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  International VOIP calls
  Domestic VOIP calls


Method

  Computer to phone
  Computer to computer
  Phone to phone


Deployment

  On-premises
  Cloud-based


Geography

  Europe

    UK

By Type Insights

The international VOIP calls segment is estimated to witness significant growth during the forecast period.

The VOIP market in the US is experiencing significant growth due to the increasing adoption of call center software and business VOIP services. This shift towards digital communication solutions offers numerous benefits, including cost savings, call transfer, disaster recovery, call routing, presence management, and business continuity. VOIP phones, cloud-based VoIP, subscription models, and mobile VOIP are becoming increasingly popular, enabling remote work and instant messaging. Unified communications solutions, such as IP PBX, video conferencing, and customer service tools, are also gaining traction. VOIP services offer superior call clarity and reliability, making them an attractive alternative to traditional phone systems. As competition intensifies among providers, businesses require actionable data and business plans to optimize their revenue, minimize revenue leakages, and enhance customer experience through automated payment solutions and data analytics.

SMBs and enterprises alike are embracing VOIP technology for its flexibility and scalability. Key VOIP entities, including RingCentral, Vonage, 8x8, Skype for Business, and Mitel, continue to innovate and dominate the market. SIP trunking, auto attendant, call recording, and fax over IP are additional features enhancing the VOIP experience. The VOIP market's evolution reflects the growing importance of unified, efficient, and cost-effective communication solutions for modern businesses.

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The International VOIP calls segment was valued at USD 4.30 billion in 2019 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and chall

Introduction

Welcome to the UK English Call Center Speech Dataset for the Travel domain designed to enhance the development of call center speech recognition models specifically for the Travel industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data:

This training dataset comprises 30 Hours of call center audio recordings covering various topics and scenarios related to the Travel domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Travel domain call center conversational AI and ASR models for the UK English language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This statistic illustrates the simple average bundle pricing for fixed broadband and fixed voice services in the United Kingdom (UK) in 2015. The simple average monthly price of bundle tariffs offering 8 Mbit/s headline download speed, 25 GB of data use and 250 voice minutes, was 30 GBP in the UK in 2015.

The UK fixed connectivity market, valued at approximately £34.02 billion in 2025, exhibits a steady growth trajectory, projected to expand at a Compound Annual Growth Rate (CAGR) of 3.69% from 2025 to 2033. This growth is fueled by several key drivers. The increasing adoption of high-speed broadband, driven by the rise of remote work, online streaming, and the Internet of Things (IoT), is a significant factor. Furthermore, government initiatives promoting digital infrastructure development and the expansion of full-fibre networks contribute to market expansion. Competition amongst major players like BT Group, Vodafone, and Virgin Media Business Ltd. fosters innovation and drives pricing strategies that benefit consumers and businesses. While the market faces challenges, such as the high cost of infrastructure upgrades and the potential for saturation in certain areas, the overall outlook remains positive. The segmentation, encompassing fixed data and fixed voice services for both consumers and enterprises, reflects the diverse demands within the market, with the enterprise sector expected to see significant growth due to increasing reliance on cloud services and robust network connectivity. The market's regional distribution reflects the UK's uneven digital infrastructure development. While major urban centers enjoy high broadband penetration, rural areas lag behind, presenting both a challenge and an opportunity for future growth. Providers are focusing on bridging this digital divide through targeted investment and government support programs. The competitive landscape is dynamic, with established players facing pressure from new entrants offering innovative solutions and competitive pricing. Future growth will likely depend on the successful rollout of next-generation networks (5G and beyond), continued investment in infrastructure, and the ability of providers to meet the evolving needs of increasingly data-hungry consumers and businesses. The ongoing focus on cybersecurity and data privacy will also shape the market's trajectory. This report provides a detailed analysis of the UK fixed connectivity market, covering the period from 2019 to 2033. It examines market size, growth drivers, challenges, and key players, offering valuable insights for businesses operating in or considering entry into this dynamic sector. The report utilizes data from the historical period (2019-2024), the base year (2025), and offers estimations for 2025 and forecasts until 2033. Key segments analyzed include fixed data, fixed voice, consumer, and enterprise end-users. Recent developments include: May 2024: BT Group, the UK's provider of fixed and mobile telecommunications, along with a suite of secure digital offerings, unveiled an updated timeline for transitioning all its customers, spanning both individual consumers and businesses from the traditional Public Switched Telephone Network (PSTN) to digital landlines. The move followed the introduction of a series of program enhancements aimed at better protecting vulnerable customers, especially those with additional needs, such as telecare users.February 2024: BT Group, the provider of fixed and mobile telecommunications in the United Kingdom, unveiled its advanced NB-IoT network. This multi-million-pound investment is poised to catalyze the development of smart cities and industries across the UK, boasting an overall 97% population coverage. Powered by the EE mobile network, NB-IoT is a low-power network, holding the potential to transform sectors like utilities, construction, and the public domain.. Key drivers for this market are: Huge demand for high-speed connectivity, Rising digital transformation in the industries. Potential restraints include: Huge demand for high-speed connectivity, Rising digital transformation in the industries. Notable trends are: Digital Transformation is Increasing Across the Industries.

Forecast: International Voice Calls in the UK 2024 - 2028 Discover more data with ReportLinker!

The Wireless Telecommunications Carriers industry is highly concentrated, with four mobile network operators (MNOs) – EE, O2, Vodafone and Three – dominating the market. This means revenue is largely dictated by the performance of those top four MNOs. Higher consumer and business demand for wireless connectivity over wired telecoms has supported demand in recent years, as it's advancing to become faster and more reliable. However, revenue is expected to edge downwards at a compound annual rate of 6.4% to £13.1 billion over the five years through 2024-25. The shift in consumer preferences towards data-based communication, like Facebook and WhatsApp, over traditional voice calls and SMS, which have traditionally been higher revenue generators, has led to intense competition, which has reduced average revenue per user (ARPU) and regulatory pressures like reduced mobile termination rates. Economic challenges and affordability issues among consumers have further strained revenue as companies adjust their offerings to remain competitive amid these pressures. MNOs have benefitted from heightened demand for post-paid smartphones and data services as technology demands more data, with average monthly data usage booming 21% to 9.9 GB in 2023. Mobile phone usage and consumers seeking data services to use on their smartphones anytime, anywhere, has further boosted demand and customer access has improved, with 92% of premises being accessible by 5G as of November 2024. However, external competition is climbing with the growing popularity of apps and fierce internal competition, contributing to the drop in revenue. Weak consumer confidence, falling average revenue per user (ARPU) and increasing regulation (including cuts in mobile termination rates) have made operating conditions difficult for wireless telecom providers. Still, in 2024-25, revenue is set to climb by 1.1%, driven by greater 5G uptake, although the cost-of-living crisis has forced many people to cut spending and seek cheaper deals, lowering ARPU. Revenue is forecast to climb at a compound annual rate of 1.2% over the five years through 2029-30 to £13.9 billion. Continued growth in demand for data services and declining competition from wired telecommunications will support MNOs. As 5G networks expand further across the UK, demand for telecom services from businesses and consumers alike is slated to swell. The high capital investment required to maintain and expand the network will likely constrain wireless telecom providers' profitability in the short term, but it will improve product offerings in the long term. However, challenges remain; intense competition and market saturation will likely continue to cut into ARPU, constraining revenue growth, while low MTRs and rising regulation are expected to further limit MNOs’ performance.

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In a survey from the first quarter of 2022, EE (a subsidiary of BT) emerged as the most popular mobile service provider in the United Kingdom (UK), with about ** percent of respondents reporting that they used that provider. With a mobile voice network that covers approximately ** percent of indoor premises in England as of January 2022, EE also consistently scored highly in customer satisfaction surveys. In 2021, ** percent of EE mobile subscribers surveyed reported being either fairly satisfied or very satisfied with the service. EE customer base EE, purchased by the BT Group in 2016, provided service to roughly ** million customers in the UK as at March 2018, including machine to machine (M2M) and mobile virtual network operators (MVNO) customers. Of these customers, the vast majority subscribe on a post-pay basis, with **** million customers on such a contract. In 2021, Vodafone reported having over ** million mobile customers in the UK. Shifting mobile landscapes Mobile service providers have had to contend with seismic shifts in their industry, with an increase in the average revenue per user (ARPU) for mobile data and a decline in the ARPU for mobile voice services, amounting to an overall decline in mobile service ARPU. This is also evident in figures reported for the UK by Vodafone and Telefonica. Each of these companies reported a drop in mobile ARPU, most notably for customers on long-term contracts.

Introduction

Welcome to the British English Scripted Monologue Speech Dataset for the Delivery & Logistics Domain. This meticulously curated dataset is designed to advance the development of English language speech recognition models, particularly for the Delivery & Logistics industry.

Speech Data

This training dataset comprises over 6,000 high-quality scripted prompt recordings in British English. These recordings cover various topics and scenarios relevant to the Delivery & Logistics domain, designed to build robust and accurate customer service speech technology.

Each scripted prompt is crafted to reflect real-life scenarios encountered in the Delivery & Logistics domain, ensuring applicability in training robust natural language processing and speech recognition models.

Transcription Data

In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.

Introduction

Welcome to the British English Scripted Monologue Speech Dataset for the Healthcare Domain. This meticulously curated dataset is designed to advance the development of English language speech recognition models, particularly for the Healthcare industry.

Speech Data

This training dataset comprises over 6,000 high-quality scripted prompt recordings in British English. These recordings cover various topics and scenarios relevant to the Healthcare domain, designed to build robust and accurate customer service speech technology.

Each scripted prompt is crafted to reflect real-life scenarios encountered in the Healthcare domain, ensuring applicability in training robust natural language processing and speech recognition models.

Transcription Data

In addition to high-quality audio recordings, the dataset includes meticulously prepared text files with verbatim transcriptions of each audio file. These transcriptions are essential for training accurate and robust speech recognition models.

The industry focuses on transmitting voice, data, text, sound, and video. It operates facilities that utilise one or multiple technologies. This sector specialises in content transmission without engaging in creation. The categorisation within this division reflects the type of infrastructure utilised.

This dataset relates to a study exploring off-grid sanitation practices in Kenya, Peru, and South Africa, with a focus on how various user demographics access and utilize sanitation facilities. The study contrasts container-based sanitation with alternative methods. Participants, acting as citizen researchers, gathered confidential information using a specialized mobile application. The primary objective was to uncover obstacles and challenges, with the intention of sharing insights with other municipalities interested in implementing container-based sanitation solutions for off-grid regions.

Over the course of 12 months, participants received incentives for consistent involvement, following a micro-payment for micro-tasks model. Selection of participants was randomized, involving attendance at a training session and, if necessary, provision of a smartphone which they retained at the conclusion of the project. Weekly smartphone surveys were conducted in more than 300 households within informal settlements across the three countries throughout the project duration. These surveys aimed to capture daily routines, well-being, income levels, usage of infrastructure services, livelihood or environmental shocks and other socioeconomic factors on a weekly basis, contributing to more comprehensive analyses and informed decision-making processes.

The smartphone-based methodology offered an efficient and adaptable means of data collection, facilitating broad coverage across diverse geographical areas and subjects, while promoting regular engagement. Open Data Kit (ODK) tools were utilized to support data collection in resource-limited settings with unreliable connectivity.