- F
Travel Call Center Speech Data: English (Philippines)
- futurebeeai.com
wavUpdated Aug 1, 2022
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteFutureBee AI (2022). Travel Call Center Speech Data: English (Philippines) [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/travel-call-center-conversation-english-philippineswavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Area coveredPhilippinesDataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the Philippines 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.
•Participant Diversity:•Speakers: 60 expert native Philippines English speakers from the FutureBeeAI Community.•Regions: Different states/provinces of Philippines, ensuring a balanced representation of Philippines accents, dialects, and demographics.•Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.•Recording Details:•Conversation Nature: Unscripted and spontaneous conversations between call center agents and customers.•Call Duration: Average duration of 5 to 15 minutes per call.•Formats: WAV format with stereo channels, a bit depth of 16 bits, and a sample rate of 8 and 16 kHz.•Environment: Without background noise and without echo.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.
•Inbound Calls:•Booking inquiries and assistance•Destination information and recommendations•Assistance with flight delays or cancellations•Special assistance for passengers with disabilities•Travel-related health and safety inquiry•Assistance with lost or delayed baggage, and many more•Outbound Calls:•Promotional offers and package deals•Customer satisfaction surveys•Booking confirmations and updates•Flight schedule changes and notifications•Customer feedback collection•Reminders for passport or visa expiration date, and many moreThis 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:
•Speaker-wise Segmentation: Time-coded segments for both agents and customers.•Non-Speech Labels: Tags and labels for non-speech elements.•Word Error Rate: Word error rate is less than 5% thanks to the dual layer of QA.These ready-to-use transcriptions accelerate the development of the Travel domain call center conversational AI and ASR models for the Philippines English language.
Metadata
The dataset provides comprehensive metadata for each conversation and participant:
•Participant Metadata: Unique identifier, age, gender, country, state, district, accent and dialect.•Conversation Metadata: Domain, topic, call type, outcome/sentiment, bit depth, and sample - F
Travel Call Center Speech Data: Filipino (Philippines)
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Travel Call Center Speech Data: Filipino (Philippines) [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/travel-call-center-conversation-filipino-philippineswavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Area coveredPhilippinesDataset funded byFutureBeeAIDescriptionIntroduction
Welcome to the Filipino 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.
•Participant Diversity:•Speakers: 60 expert native Filipino speakers from the FutureBeeAI Community.•Regions: Different states/provinces of Philippines, ensuring a balanced representation of Filipino accents, dialects, and demographics.•Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.•Recording Details:•Conversation Nature: Unscripted and spontaneous conversations between call center agents and customers.•Call Duration: Average duration of 5 to 15 minutes per call.•Formats: WAV format with stereo channels, a bit depth of 16 bits, and a sample rate of 8 and 16 kHz.•Environment: Without background noise and without echo.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.
•Inbound Calls:•Booking inquiries and assistance•Destination information and recommendations•Assistance with flight delays or cancellations•Special assistance for passengers with disabilities•Travel-related health and safety inquiry•Assistance with lost or delayed baggage, and many more•Outbound Calls:•Promotional offers and package deals•Customer satisfaction surveys•Booking confirmations and updates•Flight schedule changes and notifications•Customer feedback collection•Reminders for passport or visa expiration date, and many moreThis 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:
•Speaker-wise Segmentation: Time-coded segments for both agents and customers.•Non-Speech Labels: Tags and labels for non-speech elements.•Word Error Rate: Word error rate is less than 5% thanks to the dual layer of QA.These ready-to-use transcriptions accelerate the development of the Travel domain call center conversational AI and ASR models for the Filipino language.
Metadata
The dataset provides comprehensive metadata for each conversation and participant:
•Participant Metadata: Unique identifier, age, gender, country, state, district, accent and dialect.•Conversation Metadata: Domain, topic, call type, outcome/sentiment, bit depth, and sample rate. 
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailTravel Call Center Speech Data: English (Philippines)
Philippines English call center speech corpus in travel industry
https://www.futurebeeai.com/data-license-agreementhttps://www.futurebeeai.com/data-license-agreement
Introduction
Welcome to the Philippines 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 Philippines English language.
Metadata
The dataset provides comprehensive metadata for each conversation and participant: