English (UK) Call Center Speech Dataset for Real Estate

The audio dataset comprises call center conversations for the Real Estate domain, featuring native English speakers from UK. 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 (UK) call center audio recording for Realestate industry
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About this Off-the-shelf Speech Dataset

Card Head Line

Introduction

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

  • Participant Diversity:
  • Speakers: 60 expert native UK English speakers from the FutureBeeAI Community.
  • Regions: Different regions of United Kingdom, ensuring a balanced representation of UK 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:
  • Property Inquiry
  • Rental Property Search & Availability
  • Renovation Inquiries
  • Property Features & Amenities Inquiry
  • Investment Property Analysis & Advice
  • Property History & Ownership Details, and many more
  • Outbound Calls:
  • New Property Listing Update
  • Post Purchase Follow-ups
  • Investment Opportunities & Property Recommendations
  • Property Value Updates
  • Customer Satisfaction Surveys, 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 Real Estate domain call center conversational AI and ASR models for the UK 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 UK 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 Real Estate domain. Potential use cases include:

  • Speech Recognition Models: Training and fine-tuning speech recognition models for UK 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 Real Estate sector.
  • Smart Assistants and Chatbots: Developing conversational agents and virtual assistants for customer service in the Real Estate 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 Real Estate 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 Real Estate 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
    1.459 - 5.886
    Hello is this Remax industries real estate?
    5.272 - 5.375
    -
    6.517 - 12.554
    Hi this is indeed [filler] this is Remax [filler] (()) speaking. How can I help you?
    11.355 - 11.516
    -
    13.064 - 25.382
    Great, my name is <PII>Jonathan</PII> and [filler] I recently move from the <initial>US</initial> to London here and I been looking to buy few things actually [filler] so, you know.
    19.896 - 19.989
    -
    20.660 - 21.579
    -
    25.454 - 38.631
    We have all the little trouble in the <initial>US</initial> last week [filler] I have been trying to you know move away. It's gonna be hectic country. I am not gonna lie [filler] and Europe seems like very good destination I have heard very good thing about London.
    38.737 - 39.018
    -
    39.024 - 49.557
    So, it's not just temporary move, it's permanent move and you know. Let me know some (()) but you know It's really give you little bit background and eventually [filler]
    45.478 - 45.959
    [laugh]
    47.277 - 49.987
    No, no, no, no it's very much very useful.
    50.131 - 52.423
    Thank you eventually I want to have
    52.466 - 52.704
    -
    53.051 - 55.073
    one property for
    55.564 - 56.301
    me to living.
    56.707 - 64.111
    and then I wants few for investment purposes as something your company can offer or you just (()) for [filler]
    57.134 - 57.843
    Okay
    62.365 - 62.765
    -
    64.415 - 64.828
    you know
    64.459 - 65.477
    -
    65.361 - 65.802
    [filler]
    66.331 - 69.328
    [noise] for a living real estate not a investment real estate.
    70.090 - 70.281
    -
    70.418 - 85.400
    No hundred percent we we Remax offer services for both of those requirements you have indicated sir. [filler] So, shall we start first with the house you want to live in. So the start with how many years (()) for that specific house.
    71.825 - 73.697
    -
    77.831 - 78.102
    -
    85.703 - 96.299
    Well I, I live live alone [filler] Make sure to (()) alone and [filler] yeah no no wife at the moment [laugh] so I with probably
    88.177 - 88.754
    Okay
    89.489 - 90.218
    (())
    97.000 - 105.254
    Get a three bedroom and I would make two the room (()) combine them into one. So , its very very big bedroom and smaller just for guest probably.
    97.664 - 97.834
    -
    105.611 - 110.379
    Okay so three bedroom [noise] okay specially (()) this so I can [filler]
    110.390 - 110.846
    -
    111.123 - 116.525
    [filler] when I get the search for you of course maximize the relevant answers.
    116.543 - 116.691
    -
    116.992 - 125.540
    [filler] three bedrooms and in terms of property type [filler] are you found when houses (()) for the flats, the bungalow. [filler] what's sort of
    124.690 - 131.376
    (()) there for not a bungalow [filler] but you know I am I am looking for something [filler]
    127.572 - 129.669
    Not a bungalow okay not a bungalow
    131.592 - 131.770
    -
    132.668 - 135.518
    A little bit more modern I would say.
    136.292 - 139.781
    Okay and in between flat and house any preference sir sir.
    140.306 - 140.675
    -
    141.032 - 143.679
    [filler] No preference [filler] but
    143.638 - 144.056
    Okay
    144.073 - 151.532
    Low low low maintenance I would say right so I don't want to be very very big house I want something small but
    146.179 - 147.467
    Low maintenance yeah.
    152.281 - 156.084
    excuses the (()) position here so small (()) you know what I mean
    154.860 - 155.204
    [filler] [filler]
    156.574 - 156.872
    -
    157.127 - 167.025
    Small, but big. Yes, I understand exactly what you're referring to. And in terms of sort of just further options, this is just quick and
    161.562 - 162.007
    Great
    167.573 - 170.139
    quick filters for my [filler] next search.
    170.102 - 170.620
    -
    170.794 - 177.876
    [filler] Do you want [filler] with parking, [filler] with a garden, are those things that excite you or unnecessary?
    177.074 - 179.199
    Yeah I would need at least
    180.233 - 184.288
    probably, I haven't decided that I'm going to keep all the cars at the properties, but
    184.258 - 184.979
    okay yeah
    184.263 - 184.544
    -
    184.830 - 187.181
    [filler] let's say I would keep maybe
    187.204 - 187.405
    -
    187.717 - 193.241
    let's say to keep it simple, I know London is complicated, one parking spot would be ideal.
    193.887 - 202.346
    One parking spot, okay, excellent. And in terms of price, what is sort of the house the range we're looking at here, sir?(())
    199.973 - 200.907
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    201.568 - 201.828
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    201.996 - 207.525
    Well, I would say the whole investment portfolio is about converted into pounds.
    207.536 - 207.781
    -
    208.008 - 212.133
    We're talking about around ten, that's for all properties.
    208.741 - 209.092
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    212.717 - 213.020
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    213.151 - 213.681
    Okay.
    214.478 - 214.669
    -
    214.686 - 217.199
    Ten million okay [filler] ten million right, obviously. [laugh]
    217.258 - 218.366
    Yes, yes exactly.
    217.467 - 218.068
    -
    218.877 - 220.449
    [filler] okay, so [filler]
    220.324 - 220.912
    -
    220.907 - 234.631
    and in terms of post, [filler] sorry, [filler] postcode, look, I mean, I'm not sure, obviously, I'm not sure how much of London you're aware at the moment. Do you want more central, are you looking sort of suburban [filler] postcodes?
    235.044 - 235.925
    -
    235.073 - 239.084
    Well, what's the what's the big round thing that you guys have there?
    240.348 - 241.996
    The big round thing, I think,
    242.383 - 246.120
    I think you might be referring to the London Eye. The London Eye? Yeah, the London Eye.
    244.472 - 251.162
    Yeah maybe maybe that yeah (()) is this possible [filler] (()) don't have to be a front view but like
    247.074 - 248.520
    Oh, okay. Yeah,
    248.854 - 249.697
    -
    251.252 - 253.056
    [filler] yes yes yeah
    251.566 - 253.168
    any kind of view, and that would be great.
    254.050 - 255.205
    Okay, so
    255.967 - 266.336
    London Eye, so <initial>SE</initial> , okay, very good. So let's just need that into the details here, <initial>SE</initial> one London. That's your postcode, if you wanna, [laugh] with the
    266.389 - 266.747
    -
    266.894 - 272.781
    for London. That's good, okay, I've taken that now, okay, and then we can move them to the
    272.798 - 273.105
    -
    273.321 - 276.774
    second option, which was [filler] for investment, for rent, correct?
    277.208 - 278.439
    Yes, rental income.
    279.343 - 284.098
    Rental income, okay, and then for rental income, in terms of the parameters we're looking at,
    284.620 - 288.920
    [filler] price is at ten million, so there's a lot, well, and how are you willing [filler]
    289.326 - 295.817
    willing or aiming to do the split between your rental properties, so for the (()) rental and your
    295.769 - 296.124
    -
    296.336 - 305.011
    [filler] residential properties, it will be a fifty-fifty, a sixty-forty, or a good old-fashioned thirty-seventy bond stock split, as they say, in the finance industry.
    305.076 - 307.612
    [filler] The sixty-forty I know. [filler]
    307.528 - 307.774
    -
    308.153 - 310.197
    I would say something,
    310.617 - 310.872
    -
    311.105 - 312.911
    you know, I want my house to be
    313.723 - 319.233
    the the the most prominent asset of my portfolio, so
    319.244 - 319.451
    -
    319.670 - 328.898
    I would shoot about, let's say, what you said, the thirty-seventy, but the seventy wouldn't be one property, maybe two or three.
    324.894 - 325.254
    -
    329.588 - 339.197
    Two or three, perfect, okay. We can definitely sum that up for you, sir. [filler] Just one more question for the rental property, in terms of location.
    339.244 - 339.482
    -
    340.451 - 344.401
    Obviously, oh my god rentals are not gonna live there, but do you want to be sort of
    345.095 - 353.117
    within thirty minutes to access it. If you one day want to sort of just check on it, or something like that, as a landlord, or it doesn't really matter, the distance is.(())
    350.189 - 350.492
    No,
    351.182 - 351.569
    No,
    352.415 - 355.175
    No, I'd probably get a property manager, to be honest.
    355.711 - 357.230
    You'll get a property manager, okay.
    357.175 - 357.511
    Yeah,
    357.237 - 358.028
    -
    358.050 - 359.156
    So okay.
    359.930 - 362.500
    So that's that, so Dan will just need some [filler]
    362.420 - 363.057
    -
    363.033 - 368.774
    quick details from you here, just to make your profile here with us at the Remax agency here in London.
    369.456 - 373.557
    [filler] So for starters, [filler] just the quick, just the full name and email, sir.
    374.317 - 374.572
    -
    374.713 - 377.192
    Yeah, so it's gonna be <PII>Jonathan</PII>
    377.620 - 378.230
    <PII>Tabu</PII>
    379.511 - 383.569
    <PII>Jonathan Tabu</PII> How do you write your [filler] surname, sir, sorry.
    381.483 - 382.103
    -
    383.771 - 385.411
    thank you And the
    386.274 - 388.879
    The Email would be
    389.362 - 391.286
    <PII>Jonathan Tabu at gmail dot com</PII>
    391.975 - 400.312
    So <PII>Jonathan Tabu at gmail dot com</PII> And then contact number, so a number we can contact you on, a phone number, that is.
    400.500 - 403.350
    Can I just leave my email please, I don't monitor my phone that much.
    403.120 - 409.321
    You don't want any, okay, that's absolutely fine, sir. It was just to get the profile done, okay.
    405.911 - 406.605
    -
    409.879 - 411.944
    And the rest we'll already have the information.
    412.482 - 416.192
    And no wife at the moment, [laugh] shall we say.
    415.105 - 415.557
    -
    415.682 - 416.677
    -
    416.639 - 420.641
    And I'm assuming no children at the moment as well, sir? Or was there any activity? Yes
    419.007 - 419.266
    -
    419.584 - 423.324
    Yes, but they won't be involved, you know, we don't have to consider them for anything.
    423.672 - 433.016
    Okay, no involvement of the children. And here at Remax, we have, [filler] well, it's not a crazy sort of utility function, but in, in
    433.069 - 433.247
    -
    433.562 - 445.223
    for our profiles, we can have a sort of a second account holder, if for any reason, [filler] you want to delegate maybe to your property manager, perhaps too early. But if you want to a friend, if you want to access sort of just
    445.708 - 456.725
    your account here with us, or is there something that doesn't interest you at all? We call it the sort of a second account holder, but he doesn't have any right to do anything, it's just sort of to just access your account [filler] in case of
    455.754 - 455.875
    -
    456.004 - 457.653
    Yeah, that's for my mother, yeah.
    458.387 - 460.718
    Okay, you want to put your mother, of course. So I'll just need her
    461.175 - 464.185
    full name and an email as usual.
    465.365 - 467.132
    Yeah, so her full name is
    467.533 - 468.262
    <PII>Clara</PII>.
    469.598 - 471.161
    <PII>Clara</PII> yeah.
    470.161 - 470.526
    -
    470.927 - 472.759
    <PII>Clara Santos</PII> [noise]
    471.444 - 471.723
    -
    473.112 - 473.908
    -
    473.795 - 476.879
    <PII><initial>SA</initial> Santos</PII> perfect. And what's her email?
    475.223 - 475.583
    -
    475.584 - 475.986
    yeah
    475.987 - 476.269
    -
    477.314 - 478.663
    Gmail as well,
    479.262 - 482.634
    And (()) Gmail (()) <PII>at gmail dot com</PII>
    482.677 - 482.872
    -
    483.072 - 486.444
    And does she have a full name her full name, phone number your mother?
    483.769 - 483.865
    -
    487.471 - 491.233
    She does, but I'll be honest, I can't find it at the moment, so let's just leave that behind.
    490.600 - 496.836
    You cannot find it, okay, perfect. So that's that's perfect for this end of the [filler]
    496.733 - 497.358
    -
    497.672 - 500.156
    of the file, that's not done.
    500.217 - 500.359
    -
    500.759 - 503.634
    And then in terms of oh please please.
    501.172 - 507.088
    quick quick question what's What's the the turnaround time you know [filler] I I I'm moving around New York
    505.600 - 505.937
    -
    507.105 - 507.295
    -
    507.572 - 508.064
    [filler]
    509.353 - 516.144
    I would say by the end of the summer. So September, September want to be living in London. Is that possible?
    511.004 - 511.875
    -
    511.942 - 513.235
    By the end of the summer, yeah.
    513.796 - 513.889
    -
    516.432 - 529.884
    That is absolutely possible, sir, yeah. Here at the Remix, we like to bite ourselves. You have a motto that says, Godspeed, but only speed. And we will provide the services for you and the fastest stream possible. [noise] And we can get it done,
    518.197 - 518.552
    okay,
    525.043 - 525.172
    -
    526.000 - 526.250
    -
    529.951 - 535.346
    turn around two to three weeks if we're really on it. So if you get everything, everyone involved, obviously a bit more pricey.
    535.346 - 535.682
    -
    535.918 - 545.149
    Four to five weeks with the old slower turnaround, but still, you know, beating our competition by around two or three weeks turnaround speed. [laugh] That's where we're headed again here at Remix.
    540.649 - 540.769
    -
    543.124 - 544.076
    Okay, great.
    545.263 - 546.267
    [noise] great great
    545.278 - 545.763
    -
    545.854 - 548.551
    Any any other questions you have for me here, sir, today?
    548.759 - 554.754
    Yeah, I would assume that you guys only take payment in [filler] British pounds?
    553.796 - 553.956
    -
    554.447 - 555.267
    -
    556.072 - 567.168
    That would be very much correct, sir. We only accept <initial>GBP</initial> [filler] obviously, [filler] did you mention maybe it was you or my previous caller? He was working at the Western Bank. Maybe I'm confusing.
    567.798 - 570.000
    Was it you, sir? That was you. okay yeah (())
    567.865 - 572.692
    Yeah Yeah, (()) I work I work at Tesla, not the Western Bank.
    570.187 - 570.278
    -
    573.095 - 575.113
    Okay. So (()) yeah now (())
    575.730 - 589.942
    was having an interesting call. I'll just summarize it very briefly. But he was basically talking about the hedging he was doing with the with the with the dollar and and so basically forex hedging with the dollar and the pound. And now that there's, well, there's a bit of a speculative boom that the pound will go up
    590.292 - 590.413
    -
    590.379 - 598.464
    and there's many, many, many, well, thousands of long contracts on the pound. So, you know, it's expected to go up. But anyway, [filler] yeah, we only accept the pounds.
    597.346 - 601.099
    Okay, (()) I'll probably hurry up with the transaction then.
    598.884 - 599.427
    [laugh]
    601.495 - 604.572
    Yes, sir. That will be better for you. [laugh]
    601.576 - 601.875
    -
    603.205 - 604.259
    Okay, perfect.
    604.792 - 610.980
    [filler] So yeah, I'll wait for the house that you send over to my email address and we'll speak soon. Yeah,
    605.489 - 605.875
    -
    607.581 - 607.918
    -
    608.759 - 608.850
    -
    611.375 - 614.325
    Yeah, we'll speak soon. Alright. see you sir. Bye, bye. Bye.
    612.466 - 613.250
    Thank you very much.
    613.913 - 614.471
    Bye, bye.

    Dataset Details

    Card Head Line

    Language

    English

    Language code

    en-gb

    Country

    UK

    Accents

    English - East and Central Midlands, English - East Anglia ...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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