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Gujarati (India) Call Center Speech Dataset for Travel
The audio dataset comprises call center conversations for the Travel domain, featuring native Gujarati speakers from India. It includes speech data, detailed metadata and accurate transcriptions.
Category
Unscripted Call Center Conversations
Total Volume
30 Speech Hours
Last updated
Jun 2024
Number of participants
60
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About this Off-the-shelf Speech Dataset
Introduction
Welcome to the Gujarati 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.
•
Speakers:
60 expert native Gujarati speakers from the FutureBeeAI Community.
•
Regions:
Different regions of Gujarat, ensuring a balanced representation of Gujarati 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.
•
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.
•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
•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 more
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:
•
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 Gujarati 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.
This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Gujarati call center speech recognition models.
Usage and Applications
This dataset can be used for various applications in the fields of speech recognition, natural language processing, and conversational AI, specifically tailored to the Travel domain. Potential use cases include:
•
Speech Recognition Models:
Training and fine-tuning speech recognition models for Gujarati.
•
Speech Analytics Models:
Building speech analytics models to extract insights, identify patterns, and glean valuable information from customer conversation, enables data-driven decision-making and process optimization within the Travel sector.
•
Smart Assistants and Chatbots:
Developing conversational agents and virtual assistants for customer service in the Travel industries.
•
Sentiment Analysis:
Analyzing customer sentiment and improving customer experience based on call center interactions.
•
Generative AI:
Training generative AI models capable of generating human-like responses, summaries, or content tailored to the Travel domain.
Secure and Ethical Collection
•Our proprietary data collection and transcription platform, “Yugo” was used throughout the process of this dataset creation.
•Throughout the data collection process, the data remained within our secure platform and did not leave our environment, ensuring data security and confidentiality.
•The data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
•It does not include any personally identifiable information about any participant, which makes the dataset safe to use.
•The dataset does not contain any copyrighted content.
Updates and Customization
Understanding the importance of diverse environments for robust ASR models, our call center voice dataset is regularly updated with new audio data captured in various real-world conditions.
•
Environmental Conditions:
Custom collection in specific environmental conditions upon request.
•
Sample Rates:
Customizable from 8kHz to 48kHz.
•
Transcription Customization:
Tailored to specific guidelines and requirements.
License
This Travel domain call center audio dataset is created by FutureBeeAI and is available for commercial use.
Use Cases
Call Center Conversational AI
ASR
Chatbot
Language Modelling
TTS
Speech Analytics
Dataset Sample(s)
ATTRIBUTES
| Channel 1 | Channel 2 | Format |
|---|---|---|
| Male(34) | Female(30) | wav, json |
TRANSCRIPTION
| LABEL | START | END | CHANNEL | TRANSCRIPT |
|---|---|---|---|---|
| Speech | 0.500 | 2.200 | Speaker 2 | <lang:Foreign>Hello futurebee Hello futurebee</lang:Foreign>. |
| Speech | 2.923 | 5.000 | Speaker 1 | <lang:Foreign>Hello futurebee</lang:Foreign>. |
| Speech | 6.825 | 10.925 | Speaker 2 | <lang:Foreign>Hello</lang:Foreign>, તમે <lang:Foreign>gateway tours and travels</lang:Foreign> માંથી વાત કરી રહ્યા છો? |
| Speech | 11.474 | 18.250 | Speaker 1 | હા હું <lang:Foreign>gateway tours and travels</lang:Foreign> માંથી વાત કરી રહ્યો છું. બોલો તમારી શું <lang:Foreign>help</lang:Foreign> કરી શકું હું? |
| Noise | 18.824 | 19.524 | - | - |
| Noise | 20.149 | 20.653 | - | - |
| Speech | 20.655 | 27.475 | Speaker 2 | મારે <lang:Foreign>tour</lang:Foreign> માટે જવાનું હતું તો તમે મને જણાવી શકો કે તમારી પાસે કયા કયા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે? |
| Speech | 28.425 | 40.075 | Speaker 1 | હા મારી પાસે ગણા બધા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે. પણ તમે મને કઈ શકો તમારે ક્યાં જવું છે? <lang:Foreign>India</lang:Foreign> માં <lang:Foreign>travel</lang:Foreign> કરવું છે કે <lang:Foreign>foreign</lang:Foreign> માં જવું છે? |
| Speech | 41.719 | 44.520 | Speaker 2 | તમારી પાસે <lang:Foreign>foreign trip</lang:Foreign> પણ <lang:Foreign>available</lang:Foreign> છે? |
| Speech | 44.420 | 50.195 | Speaker 1 | હા મારા પાસે <lang:Foreign>foreign trip available</lang:Foreign> છે. તમારે <lang:Foreign>foreign</lang:Foreign> ફરવા જવું છે? |
| Speech | 52.243 | 59.542 | Speaker 2 | #આહ અત્યાર માટે તો <lang:Foreign>India</lang:Foreign> માં જ જવું છે. તમે જણાવી શકો કે <lang:Foreign>India</lang:Foreign> માં તમારી પાસે કયા કયા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે? |
| Speech | 59.743 | 68.444 | Speaker 1 | અમારી પાસે <lang:Foreign>all over India</lang:Foreign> ના <lang:Foreign>packages available</lang:Foreign> છે. <lang:Foreign>Jammu Kashmir</lang:Foreign> ના પણ છે, રાજસ્થાન પણ છે |
| Speech | 69.269 | 77.668 | Speaker 1 | પછી ચેન્નઇ પણ છે ઓરિસા પણ છે. તમારે ક્યાં જવું છે? તમે <lang:Foreign>fix</lang:Foreign> કોઈ <lang:Foreign>destination</lang:Foreign> નક્કી કર્યું છે? |
| Speech | 69.992 | 70.894 | Speaker 2 | હા |
| Speech | 79.918 | 89.918 | Speaker 2 | હા અમારે ઉત્તર પ્રદેશ બાજુ જવું છે <lang:Foreign>Kashmir</lang:Foreign> થી લઇ ને સિમલા મનાલી સુધી બધા <lang:Foreign>station cover</lang:Foreign> થઇ જાય એવું છે તમારી જોડે? |
| Speech | 90.394 | 94.418 | Speaker 1 | હા અમારી પાસે છે <lang:Foreign>multiple destination</lang:Foreign> ના બધા |
| Speech | 94.819 | 96.093 | Speaker 2 | <lang:Foreign>Okay, okay</lang:Foreign>. |
| Speech | 95.718 | 100.519 | Speaker 1 | <lang:Foreign>Packages available</lang:Foreign> તો તમારે કેટલા દિવસો માટે જવું છે? |
| Speech | 97.918 | 98.593 | Speaker 2 | હા |
| Speech | 102.918 | 105.543 | Speaker 2 | તમારા <lang:Foreign>packages</lang:Foreign> માં કેટલા દિવસો નું છે? |
| Speech | 105.418 | 109.093 | Speaker 1 | અમારું <lang:Foreign>package multiple destination</lang:Foreign> નું છે તે |
| Speech | 110.144 | 114.543 | Speaker 1 | છ દિવસ નું છે, <lang:Foreign>week</lang:Foreign> નું છે, <lang:Foreign>ten days</lang:Foreign> છે. |
| Speech | 114.894 | 118.694 | Speaker 1 | <lang:Foreign>Fifteen days</lang:Foreign> છે અને <lang:Foreign>one month</lang:Foreign> નું પણ <lang:Foreign>available</lang:Foreign> છે. |
| Speech | 121.343 | 127.319 | Speaker 2 | <lang:Foreign>Okay but one week</lang:Foreign> માટે તમારા પાસે કયા કયા છે અમને <lang:Foreign>one week</lang:Foreign> માટે જણાઈ શકો તમે? |
| Speech | 127.194 | 132.687 | Speaker 1 | હા અમારી પાસે <lang:Foreign>one week</lang:Foreign> ના પણ છે <lang:Foreign>available</lang:Foreign>. અમારી પાસે <lang:Foreign>one week</lang:Foreign> ના |
| Speech | 132.739 | 133.389 | Speaker 2 | હા |
| Speech | 133.587 | 140.062 | Speaker 1 | ત્રણ, ત્રણ <lang:Foreign>packages available</lang:Foreign> છે અત્યારે સિમલા મનાલી એ <lang:Foreign>side</lang:Foreign> ના. |
| Speech | 141.663 | 145.014 | Speaker 1 | જેમાં એક માં |
| Speech | 143.014 | 144.014 | Speaker 2 | <lang:Foreign>Okay</lang:Foreign>. |
| Speech | 145.639 | 150.139 | Speaker 1 | <lang:Foreign>three days</lang:Foreign> અને <lang:Foreign>four nights</lang:Foreign> છે અને એક માં |
| Speech | 151.437 | 153.337 | Speaker 1 | <lang:Foreign>I means</lang:Foreign> બીજા બે માં |
| Speech | 153.739 | 154.538 | Speaker 2 | હા |
| Speech | 154.337 | 158.986 | Speaker 1 | <lang:Foreign>four days and three nights</lang:Foreign> છે તમારે કેમ જવું છે? |
| Speech | 161.336 | 165.586 | Speaker 2 | મતલબ <lang:Foreign>one week</lang:Foreign> માં બધા <lang:Foreign>station cover</lang:Foreign> થઇ જશે? |
| Speech | 166.611 | 168.361 | Speaker 1 | હા હા થઇ જશે. |
| Speech | 169.812 | 179.086 | Speaker 2 | <lang:Foreign>Okay</lang:Foreign>, તો અમને મતલબ <lang:Foreign>one week</lang:Foreign> માટે નું જ જોઈએ છે તો તમે એની <lang:Foreign>process</lang:Foreign> જણાઈ શકો કે કઈ રીતનું <lang:Foreign>transport</lang:Foreign> અમારું રહેશે? |
| Noise | 172.312 | 173.361 | - | - |
| Speech | 180.538 | 185.711 | Speaker 1 | તમે ક્યાં થી બોલો છો તમારું <lang:Foreign>resident area</lang:Foreign> ક્યાં છે? |
TRANSCRIPTION
| TIME | TRANSCRIPT |
|---|---|
| 0.500 2.200 | <lang:Foreign>Hello futurebee Hello futurebee</lang:Foreign>. |
| 2.923 5.000 | <lang:Foreign>Hello futurebee</lang:Foreign>. |
| 6.825 10.925 | <lang:Foreign>Hello</lang:Foreign>, તમે <lang:Foreign>gateway tours and travels</lang:Foreign> માંથી વાત કરી રહ્યા છો? |
| 11.474 18.250 | હા હું <lang:Foreign>gateway tours and travels</lang:Foreign> માંથી વાત કરી રહ્યો છું. બોલો તમારી શું <lang:Foreign>help</lang:Foreign> કરી શકું હું? |
| 18.824 19.524 | - |
| 20.149 20.653 | - |
| 20.655 27.475 | મારે <lang:Foreign>tour</lang:Foreign> માટે જવાનું હતું તો તમે મને જણાવી શકો કે તમારી પાસે કયા કયા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે? |
| 28.425 40.075 | હા મારી પાસે ગણા બધા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે. પણ તમે મને કઈ શકો તમારે ક્યાં જવું છે? <lang:Foreign>India</lang:Foreign> માં <lang:Foreign>travel</lang:Foreign> કરવું છે કે <lang:Foreign>foreign</lang:Foreign> માં જવું છે? |
| 41.719 44.520 | તમારી પાસે <lang:Foreign>foreign trip</lang:Foreign> પણ <lang:Foreign>available</lang:Foreign> છે? |
| 44.420 50.195 | હા મારા પાસે <lang:Foreign>foreign trip available</lang:Foreign> છે. તમારે <lang:Foreign>foreign</lang:Foreign> ફરવા જવું છે? |
| 52.243 59.542 | #આહ અત્યાર માટે તો <lang:Foreign>India</lang:Foreign> માં જ જવું છે. તમે જણાવી શકો કે <lang:Foreign>India</lang:Foreign> માં તમારી પાસે કયા કયા <lang:Foreign>packages</lang:Foreign> ઉપલબ્ધ છે? |
| 59.743 68.444 | અમારી પાસે <lang:Foreign>all over India</lang:Foreign> ના <lang:Foreign>packages available</lang:Foreign> છે. <lang:Foreign>Jammu Kashmir</lang:Foreign> ના પણ છે, રાજસ્થાન પણ છે |
| 69.269 77.668 | પછી ચેન્નઇ પણ છે ઓરિસા પણ છે. તમારે ક્યાં જવું છે? તમે <lang:Foreign>fix</lang:Foreign> કોઈ <lang:Foreign>destination</lang:Foreign> નક્કી કર્યું છે? |
| 69.992 70.894 | હા |
| 79.918 89.918 | હા અમારે ઉત્તર પ્રદેશ બાજુ જવું છે <lang:Foreign>Kashmir</lang:Foreign> થી લઇ ને સિમલા મનાલી સુધી બધા <lang:Foreign>station cover</lang:Foreign> થઇ જાય એવું છે તમારી જોડે? |
| 90.394 94.418 | હા અમારી પાસે છે <lang:Foreign>multiple destination</lang:Foreign> ના બધા |
| 94.819 96.093 | <lang:Foreign>Okay, okay</lang:Foreign>. |
| 95.718 100.519 | <lang:Foreign>Packages available</lang:Foreign> તો તમારે કેટલા દિવસો માટે જવું છે? |
| 97.918 98.593 | હા |
| 102.918 105.543 | તમારા <lang:Foreign>packages</lang:Foreign> માં કેટલા દિવસો નું છે? |
| 105.418 109.093 | અમારું <lang:Foreign>package multiple destination</lang:Foreign> નું છે તે |
| 110.144 114.543 | છ દિવસ નું છે, <lang:Foreign>week</lang:Foreign> નું છે, <lang:Foreign>ten days</lang:Foreign> છે. |
| 114.894 118.694 | <lang:Foreign>Fifteen days</lang:Foreign> છે અને <lang:Foreign>one month</lang:Foreign> નું પણ <lang:Foreign>available</lang:Foreign> છે. |
| 121.343 127.319 | <lang:Foreign>Okay but one week</lang:Foreign> માટે તમારા પાસે કયા કયા છે અમને <lang:Foreign>one week</lang:Foreign> માટે જણાઈ શકો તમે? |
| 127.194 132.687 | હા અમારી પાસે <lang:Foreign>one week</lang:Foreign> ના પણ છે <lang:Foreign>available</lang:Foreign>. અમારી પાસે <lang:Foreign>one week</lang:Foreign> ના |
| 132.739 133.389 | હા |
| 133.587 140.062 | ત્રણ, ત્રણ <lang:Foreign>packages available</lang:Foreign> છે અત્યારે સિમલા મનાલી એ <lang:Foreign>side</lang:Foreign> ના. |
| 141.663 145.014 | જેમાં એક માં |
| 143.014 144.014 | <lang:Foreign>Okay</lang:Foreign>. |
| 145.639 150.139 | <lang:Foreign>three days</lang:Foreign> અને <lang:Foreign>four nights</lang:Foreign> છે અને એક માં |
| 151.437 153.337 | <lang:Foreign>I means</lang:Foreign> બીજા બે માં |
| 153.739 154.538 | હા |
| 154.337 158.986 | <lang:Foreign>four days and three nights</lang:Foreign> છે તમારે કેમ જવું છે? |
| 161.336 165.586 | મતલબ <lang:Foreign>one week</lang:Foreign> માં બધા <lang:Foreign>station cover</lang:Foreign> થઇ જશે? |
| 166.611 168.361 | હા હા થઇ જશે. |
| 169.812 179.086 | <lang:Foreign>Okay</lang:Foreign>, તો અમને મતલબ <lang:Foreign>one week</lang:Foreign> માટે નું જ જોઈએ છે તો તમે એની <lang:Foreign>process</lang:Foreign> જણાઈ શકો કે કઈ રીતનું <lang:Foreign>transport</lang:Foreign> અમારું રહેશે? |
| 172.312 173.361 | - |
| 180.538 185.711 | તમે ક્યાં થી બોલો છો તમારું <lang:Foreign>resident area</lang:Foreign> ક્યાં છે? |
Dataset Demographics
Language
Gujarati
Language code
gu-in
Country
India
Accents
Kathiawari,...more
Gender Distribution
M:60, F:40
Age Group
18-70
Audio File Details
Environment
Silent, Noisy
Bit Depth
16 bit
Format
wav
Sample rate
8khz & 16khz
Channel
Stereo
Audio file duration
5-15 minutes
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