English (India) Call Center Speech Dataset for Retail & E-commerce

The audio dataset comprises call center conversations for the Retail & E-commerce domain, featuring native English 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

English (India) call center audio recording for Retail and E-commerce industry
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About this Off-the-shelf Speech Dataset

Card Head Line

Introduction

Welcome to the Indian English Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail 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 Retail domain, designed to build robust and accurate customer service speech technology.

  • Participant Diversity:
  • Speakers: 60 expert native Indian English speakers from the FutureBeeAI Community.
  • Regions: Different states/provinces of India, ensuring a balanced representation of Indian 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:
  • Product Inquiry
  • Return/Exchange Request
  • Order Cancellation
  • Refund Request
  • Membership/Subscriptions Enquiry
  • Order Cancellations, and many more
  • Outbound Calls:
  • Order Confirmation
  • Cross-selling and Upselling
  • Account Updates
  • Loyalty Program offers
  • Special Offers and Promotions
  • Customer Verification, 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 Retail domain call center conversational AI and ASR models for the Indian 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 rate.
  • This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Indian English 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 Retail domain. Potential use cases include:

  • Speech Recognition Models: Training and fine-tuning speech recognition models for Indian English.
  • 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 Retail sector.
  • Smart Assistants and Chatbots: Developing conversational agents and virtual assistants for customer service in the Retail 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 Retail 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.

  • Customization & Custom Collection Options:
  • 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 Retail domain call center audio dataset is created by FutureBeeAI and is available for commercial use.

    Use Cases

    Use of speech data in Conversational AI

    Call Center Conversational AI

    Use of speech data for Automatic Speech Recognition

    ASR

    Use of speech data for Chatbot & voicebot creation

    Chatbot

    Use of speech data in Language Modeling

    Language Modelling

    Use of speech data in Text-into-speech

    TTS

    Speech data usecase in Speech Analytics

    Speech Analytics

    Dataset Sample(s)

    Card Head Line
    00:00

    ATTRIBUTES

    TRANSCRIPTION

    TIME
    TRANSCRIPT
    0.059 - 1.104
    Hello FutureBee
    1.491 - 2.562
    Hello FutureBee
    3.205 - 4.062
    Good morning Ma'am
    5.150 - 7.160
    Good morning. May I know who is this?
    7.200 - 9.585
    Ma'am, I am calling from <initial>SJ</initial> Tiles and Showroom.
    11.503 - 13.884
    Are you available for ten minutes to have a call?
    11.506 - 12.205
    Yes Ma'am.
    15.913 - 17.155
    Yeah sure Ma'am, sure.
    17.035 - 23.018
    (()) my father sales representative visited your construction block that you are constructing near Tambaram
    25.975 - 31.646
    [filler] We heard that the you are in need of tiles. So can I explain you the regarding the tiles?
    26.346 - 27.280
    Okay ma'am.
    33.539 - 40.548
    Yes Ma'am yes. I am searching the tiles only [filler] We need quality tiles , So can you explain your tiles material.
    40.789 - 48.398
    Yeah sure Ma'am. Actually your (()) we heard that your house will be like around thousand and two hundred square feet.
    48.621 - 51.398
    -
    51.636 - 55.243
    okay may I know how many bedrooms and [filler] hall, dining and all
    51.658 - 53.134
    Yeah, yes ma'am yes yes.
    55.923 - 56.222
    -
    57.432 - 62.015
    Ma'am we have planning two bedroom, one hall and one kitchen.
    59.948 - 61.447
    -
    62.253 - 64.745
    Okay ma'am, dining halls do you have?
    66.171 - 66.596
    -
    66.266 - 69.766
    Yes ma'am [filler] attached to kitchen, we have a dining hall.
    69.230 - 84.197
    [bg-speech] Okay Ma'am. Then you wish to give different-different models for like a[noise] for one rooms one models type and another room one models type like that you are searching or for the whole area the same
    84.697 - 86.000
    pattern you have watching.
    86.584 - 90.665
    [filler] whole (()) [filler] whole area we need are the same tiles.
    89.007 - 89.411
    same
    89.414 - 89.914
    -
    90.611 - 97.025
    Okay Ma'am. Then in showroom have too many collection so you can come and visit ma'am , it is near (())
    91.275 - 91.653
    [filler]
    97.054 - 97.415
    -
    97.450 - 103.299
    So you can come directly and visit also I will explain you in the form regarding the types of tiles ma'am.
    104.459 - 105.887
    -
    104.923 - 106.721
    Okay ma'am okay please explain
    106.271 - 114.837
    we have [filler] ceramic tiles that is like single coating. The first coating will be of tiles It will be very polished tiles , glossy tile
    113.926 - 114.546
    [filler]
    114.843 - 115.376
    -
    115.408 - 118.646
    and that below the first coating you will be having a clay.
    116.370 - 117.096
    Okay ma'am.
    120.375 - 121.733
    Clay. Okay ma'am okay.
    120.495 - 120.831
    Yes,
    121.117 - 133.181
    [noise] The second type is like, glossy pattern only but you have [noise] for half of the tiles you will be having the ceramic only, below half of the tile only you will be having clay, [noise] this usually they will name this is semi.
    129.745 - 130.215
    -
    132.318 - 133.020
    Okay ma'am.
    134.687 - 137.044
    semi [filler] okay [noise] [filler]
    135.180 - 139.610
    Yeah, semi (()) all the tiles we have are (()) tiles only ma'am.
    140.877 - 142.038
    Okay Ma'am okay.
    141.768 - 145.699
    And one more thing [noise] you can put granite also.
    143.769 - 143.931
    -
    146.019 - 146.157
    -
    147.205 - 149.252
    Okay do you have a marble tiles ma'am ?
    147.901 - 148.627
    -
    149.485 - 155.203
    Yes Ma'am we have that also Ma'am [noise] and one more thing, matt ma'am. Have you heard regarding that?
    150.812 - 150.860
    -
    153.000 - 153.586
    -
    157.019 - 159.461
    Matt finishing. Yes ma'am, I heard of this
    157.127 - 158.436
    Yes matt finishing ma'am.
    158.508 - 158.675
    -
    158.920 - 164.591
    That is like it will not be very polished and that is really good for your looks ma'am. You can use it ma'am.
    159.745 - 160.370
    -
    161.370 - 162.919
    Sure. Yeah yeah
    166.705 - 172.211
    Yeah yeah. I also prefer that only ma'am because [filler] our mother-in-law having a leg pain
    168.437 - 168.806
    yeah
    172.449 - 175.687
    So I go with that, that [filler] that tiles ma'am.
    172.894 - 173.519
    -
    175.032 - 175.757
    -
    176.002 - 179.900
    Okay ma'am. In the matt one, itself you will be having like single coating
    180.092 - 184.955
    and you will have full body ma'am. Full body in the sense, the whole body of the tile will be of same
    185.556 - 185.947
    pattern.
    185.985 - 186.389
    -
    186.622 - 195.000
    For example, if you are dropping any heavy material in the floor [noise] and the floor is like little bit cracked means, [noise] you will not see the clay
    187.175 - 188.556
    okay
    195.294 - 198.116
    again the same pattern of tile will be only visible.
    195.348 - 195.769
    [filler]
    197.491 - 197.943
    -
    198.406 - 199.881
    So that is the full body.
    200.116 - 200.221
    -
    200.276 - 200.977
    Okay.
    200.310 - 208.019
    For example, if you are putting any heavy material, [noise] [filler] any corner make it cracked, any anywhere it may get cracked
    201.991 - 202.418
    Okay.
    208.097 - 208.427
    -
    208.455 - 215.717
    so at that time clay will not become outside the same material will be coming outside [noise] that is what we are giving that as a full body
    210.268 - 210.568
    -
    217.852 - 227.062
    Okay ma'am, okay. If any [filler] if any, in case any damage is [filler] in particular one title means you can replace or [filler]
    218.413 - 219.616
    One more thing,
    220.143 - 221.092
    yeah
    227.691 - 233.806
    [filler] replace in one area, or you have to cut the whole area and reput the tiles,
    232.474 - 232.618
    -
    234.021 - 234.144
    -
    234.455 - 235.354
    something like that.
    235.406 - 244.818
    Yes, I can explain you ma'am. While putting the tiles, you have to use the space in ma'am. You'll have to put the space in that means, in between the two tiles, you should have some space.
    238.419 - 238.723
    -
    246.098 - 247.479
    yeah yeah [filler]
    246.818 - 256.749
    Like fixing, some people will fix with the between the space. You have to fix with the (()) space, then only while change in the climate, the materials may contract or
    256.985 - 257.163
    -
    257.240 - 267.845
    it may expand. So at that time, only cracks will happen. If you are giving the space means, maximum crack will be avoided. [noise] If in case, if you are facing any crack means
    260.302 - 260.728
    -
    263.189 - 263.516
    -
    267.406 - 267.593
    -
    267.870 - 268.134
    -
    268.218 - 272.798
    you can take a picture of your tiles and you can come and visit the showroom and ask,
    272.817 - 273.132
    -
    273.598 - 280.232
    (()) if they are having that pattern of tiles they will replace you. If not, they will put the order and you can get it ma'am.
    275.141 - 276.040
    Okay ma'am okay.
    278.891 - 279.516
    Okay.
    281.802 - 282.802
    Okay ma'am okay.
    284.141 - 289.110
    So, in the matt itself, you we will have only new model that is carving matt.
    289.620 - 290.725
    In the matt itself
    290.310 - 290.531
    -
    291.293 - 298.449
    Yes. In the matt finish, in the matt finish itself, like a carving design it will be there. Not like a plain surface.
    291.295 - 292.009
    Carving.
    292.665 - 293.814
    What's name?
    298.439 - 299.290
    -
    299.963 - 300.713
    Okay okay.
    300.735 - 303.747
    It will be like (()) a little bit of carving will be done there.
    305.716 - 309.593
    Okay okay. Can you share this image in our WhatsApp number ma'am?
    309.821 - 314.617
    Sure ma'am. All the type of tiles I will share you in the in your WhatsApp number. This is your WhatsApp number?
    315.519 - 315.624
    -
    316.129 - 317.927
    Yes ma'am. This is my WhatsApp number.
    317.541 - 317.641
    -
    318.377 - 324.266
    [filler] You can share the images. I will choose whatever I want, I can choose.
    321.723 - 321.906
    -
    324.083 - 324.415
    -
    324.634 - 329.375
    Yes, okay ma'am. Okay ma'am. [noise] And then also, are you planning to put any tile is the elevation?
    326.887 - 327.528
    Okay.
    331.127 - 337.285
    [filler] No ma'am, I no idea for that. [filler] You can share that image also, I will choose
    337.901 - 340.201
    if any needed means.
    337.997 - 338.685
    Okay ma'am.
    339.187 - 339.314
    -
    339.846 - 339.978
    -
    340.526 - 348.651
    Regarding the floor tiles, I have explained you everything. [noise] And also in the elevation tiles, if you are having any image in your
    345.612 - 346.163
    Okay.
    348.690 - 348.978
    [noise]
    349.016 - 362.814
    [filler] (()) you may like, I want this picture in my house means, you can give me that picture. We can bring that picture in the tiles so that you can fit in the elevation ma'am. That is like tiles are customizable
    360.331 - 360.762
    -
    361.776 - 362.550
    -
    364.456 - 371.600
    Customized. Okay ma'am okay. [filler] Then I will discuss with my husband and I will update you in Whatsapp.
    364.721 - 365.680
    -
    365.891 - 366.928
    -
    372.012 - 378.148
    Okay ma'am, this option also we have. [noise] And also sanitary wear also we have ma'am like sink, kitchen sink.
    379.838 - 386.985
    Oh, yes yes. I need [filler] the sink [filler] sink, is big sink. I need a larger sink or we need a
    385.802 - 386.242
    yeah
    387.204 - 390.547
    [filler] in nearby one [filler]
    391.117 - 394.170
    [filler] on plate I I need the on plate
    392.353 - 392.956
    -
    394.216 - 394.547
    -
    394.781 - 404.867
    Yeah, I can get your point ma'am. [noise] After washing the vessels, you have to keep aside of your sink. You need a big sink with double partition. One should be hollow, one should not be hollow.
    395.324 - 396.646
    Can you arrange that?
    397.646 - 398.560
    -
    400.786 - 401.836
    Yes ma'am yes.
    404.112 - 404.937
    Yes ma'am yes.
    406.237 - 407.461
    Yes yes yes yeah
    406.877 - 415.305
    Yes, yeah we have that type of sink also ma'am. You can visit your, visit our show~ showroom one time [noise] so that you can get some good ideas.
    410.971 - 411.605
    -
    414.262 - 414.786
    -
    416.807 - 421.742
    yeah sure ma'am. Okay, [filler] can you share your address also ma'am? [filler] I will
    420.660 - 421.588
    yeah, Sure ma'am.
    422.312 - 422.862
    Okay.
    423.179 - 424.470
    yeah in (())
    425.985 - 426.511
    -
    426.009 - 428.360
    opposite to <initial>CHC</initial> park
    429.742 - 430.776
    Okay ma'am.
    431.098 - 434.603
    Opposite to <initial>CHC</initial> park itself, you can see our shop ma'am.
    435.877 - 437.608
    Okay ma'am okay. Thank you.
    436.399 - 440.483
    okay And the shop will be available from morning nine <initial>AM</initial>
    440.935 - 441.935
    to evening
    442.324 - 444.389
    [filler] late night eight <initial>PM</initial> ma'am.
    442.610 - 442.911
    -
    445.807 - 447.454
    eight <initial>PM</initial> okay ma'am okay.
    446.259 - 458.641
    Yes ma'am. And [noise] do you, one more thing in the bathrooms and in the elevation ma'am and all, [noise] we have embossed tile also ma'am. It will look naturally like a stone. [noise] It will not be very glossy,
    458.694 - 458.925
    -
    459.035 - 459.435
    -
    459.223 - 464.004
    as a real stone it will be but, it is a tiles ma'am. We have that option also in elevation.
    460.910 - 461.435
    -
    464.077 - 464.365
    -
    465.005 - 465.117
    -
    465.502 - 465.581
    -
    465.922 - 474.648
    Okay. Okay ma'am. I need in bathroom tiles, some picture tiles. You have that picture tiles of fish? Something
    466.658 - 466.740
    -
    472.052 - 472.762
    Yeah, sure.
    473.110 - 473.310
    -
    473.620 - 474.052
    yes
    476.086 - 482.793
    Yes ma'am, in our showroom, [noise] we have like, sea blue, sea green along with the fish shells and like [filler] that and all.
    478.161 - 478.303
    -
    482.435 - 482.959
    -
    483.257 - 494.740
    For kids also we have, [noise] and parent tiles also we have. For example, there will be three rows. One should be, one will be plain light colour, one will be plain dark colour. In between you will be having the pictures.
    484.810 - 485.843
    Oh yes ma'am.
    486.360 - 486.985
    -
    487.541 - 487.730
    -
    490.442 - 490.619
    -
    492.812 - 493.615
    Okay.
    494.762 - 494.983
    -
    495.021 - 498.447
    If you want to interchange anything, you can interchange and take
    495.050 - 495.271
    -
    496.541 - 497.139
    -
    499.983 - 501.877
    Okay ma'am, okay okay. [filler]
    501.059 - 501.564
    Okay
    501.581 - 501.874
    -
    502.007 - 503.822
    ma'am, eagerly visiting
    502.663 - 502.966
    okay
    504.889 - 507.620
    eagerly I am waiting for you to visit our showroom ma'am.
    508.552 - 508.879
    -
    509.009 - 515.211
    Sure ma'am, I will come to your shop and choose our tiles and designs okay.
    510.531 - 510.675
    -
    515.594 - 517.773
    Okay ma'am. Thank you for your valuable time ma'am.
    519.066 - 520.850
    Thank you ma'am, thank you. Thank you so much.
    519.995 - 520.691
    -
    520.984 - 521.072
    -

    Dataset Details

    Card Head Line

    Language

    English

    Language code

    en-In

    Country

    India

    Accents

    Chandigarh, Chhattisgarh ...more

    Gender Distribution

    M:60, F:40

    Age Group

    18-70

    File Details

    Card Head Line

    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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