English (US) Call Center Speech Dataset for Real Estate

The audio dataset comprises call center conversations for the Real Estate domain, featuring native English speakers from US. It includes speech data, detailed metadata and accurate transcriptions.

About this Off-the-shelf Speech Dataset

Introduction

Welcome to the US 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 US English speakers from the FutureBeeAI Community.

•

Regions: Different states/provinces of United States of America, ensuring a balanced representation of US 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 US 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 US 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 US 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

Call Center Conversational AI

Use of speech data for Automatic Speech Recognition

ASR

Chatbot

Language Modelling

TTS

Speech Analytics

Dataset Sample(s)

00:00

ATTRIBUTES

TRANSCRIPTION

LABEL	START	END	CHANNEL	TRANSCRIPT

Noise	0.185	0.920	-	-
Speech	0.364	1.298	Speaker 1	Hello Futurebee.
Noise	3.129	3.407	-	-
Speech	3.415	4.237	Speaker 2	Hello Futurebee.
Speech	5.932	10.426	Speaker 1	Hi my name is <PII>Kurt Holt</PII>. You reached [filler] the number one tax realtor.
Speech	11.519	13.499	Speaker 1	[filler] can I (()) this call?
Speech	14.903	16.829	Speaker 2	Hi this is <PII>Mercedes Holt</PII>.
Speech	18.297	26.225	Speaker 1	Okay <PII>Mercedes Holt</PII>. Its good to meet you. [filler] we are, we are happy to help you today. May I ask how, how we are able to help?
Noise	22.033	22.635	-	-
Speech	28.370	34.429	Speaker 2	Yeah [filler] my husband and I are on the market for a brand new beautiful house.
Speech	34.877	38.526	Speaker 2	In Texas, we just moved here from California.
Speech	39.060	39.975	Speaker 2	And
Speech	40.359	50.990	Speaker 2	we are really looking for a nice green house. So we need some help from one of your realtors. [filler] I am calling to ask about pricing, and what kind of packages you guys have because we
Speech	51.523	52.966	Speaker 2	really are looking for
Speech	53.387	55.835	Speaker 2	by just a shining star of a realtor to help us.
Speech	57.710	71.260	Speaker 1	Okay well to be honest I really think you came to the right place. [filler] I have worked for two other real, real estate companies before and I am stuck with this one for ten years because of our (()). I hope we can give you, get you what you need.
Noise	72.063	72.266	-	-
Speech	72.492	73.194	Speaker 1	[filler]
Speech	73.825	74.376	Speaker 1	So
Speech	75.069	75.400	Speaker 1	quick
Speech	75.771	79.334	Speaker 1	quick [filler] statement, just of the top, our standard price
Speech	80.498	81.102	Speaker 1	for
Speech	81.513	84.093	Speaker 1	searching for and doing the paper work for buying home
Speech	84.525	89.956	Speaker 1	is a thousand dollars. Plus see, you might have even seen our billboard [filler] driving around Texas,
Speech	90.536	91.944	Speaker 1	[filler] if you have been in Texas, yeah.
Speech	93.197	93.608	Speaker 1	[filler]
Speech	94.144	94.682	Speaker 1	but
Speech	95.441	99.674	Speaker 1	[filler] for a new home or for a special home
Speech	100.206	102.248	Speaker 1	that may not be the case. So
Speech	102.688	105.569	Speaker 1	[filler] I just need to ask, you said you are looking for a new home
Speech	106.334	113.206	Speaker 1	and you want us to be, you know the house of your dreams, are you interested in looking for a home that is already built?
Noise	108.509	108.813	-	-
Speech	114.236	118.251	Speaker 1	[filler] a home that is preowned but in wonderful condition
Speech	119.028	120.855	Speaker 1	or do you want to
Speech	121.533	124.016	Speaker 1	have a house designed and built for you first?
Noise	122.055	122.771	-	-
Noise	124.778	125.837	-	-
Speech	126.075	132.288	Speaker 2	<initial>OMG</initial> I didnt even know that having my house owned and designed what as an option.
Speech	132.953	133.699	Speaker 2	[filler]
Noise	133.834	134.304	-	-
Speech	134.264	138.338	Speaker 2	You know I am kind of (()) spend here because I, I don't think I really.
Noise	138.342	138.967	-	-
Speech	139.377	142.520	Speaker 2	I don't know. I think I want any and all of them maybe.
Speech	144.036	147.639	Speaker 2	Maybe you can give me some prices on each of these options.
Speech	149.741	157.467	Speaker 1	Okay. [filler] so the, the first one in just searching for a home and doing all the paper work for a home that is preowned.
Speech	158.181	166.602	Speaker 1	[filler] that is the thousand dollar flat fee. We help you search for that. [filler] we contact the owners or we contact the company that is selling it.
Speech	167.324	172.443	Speaker 1	[filler] we do all the phone calls, all the paper work for you and we report back to you for offers and things like that.
Speech	173.366	179.711	Speaker 1	[filler] for the second option, if you want to get a new home, we also communicate with the company.
Speech	180.336	180.842	Speaker 1	[filler]

TIME

TRANSCRIPT

0.185 - 0.920

0.364 - 1.298

Hello Futurebee.

3.129 - 3.407

3.415 - 4.237

Hello Futurebee.

5.932 - 10.426

Hi my name is <PII>Kurt Holt</PII>. You reached [filler] the number one tax realtor.

11.519 - 13.499

[filler] can I (()) this call?

14.903 - 16.829

Hi this is <PII>Mercedes Holt</PII>.

18.297 - 26.225

Okay <PII>Mercedes Holt</PII>. Its good to meet you. [filler] we are, we are happy to help you today. May I ask how, how we are able to help?

22.033 - 22.635

28.370 - 34.429

Yeah [filler] my husband and I are on the market for a brand new beautiful house.

34.877 - 38.526

In Texas, we just moved here from California.

39.060 - 39.975

And

40.359 - 50.990

we are really looking for a nice green house. So we need some help from one of your realtors. [filler] I am calling to ask about pricing, and what kind of packages you guys have because we

51.523 - 52.966

really are looking for

53.387 - 55.835

by just a shining star of a realtor to help us.

57.710 - 71.260

Okay well to be honest I really think you came to the right place. [filler] I have worked for two other real, real estate companies before and I am stuck with this one for ten years because of our (()). I hope we can give you, get you what you need.

72.063 - 72.266

72.492 - 73.194

[filler]

73.825 - 74.376

75.069 - 75.400

quick

75.771 - 79.334

quick [filler] statement, just of the top, our standard price

80.498 - 81.102

for

81.513 - 84.093

searching for and doing the paper work for buying home

84.525 - 89.956

is a thousand dollars. Plus see, you might have even seen our billboard [filler] driving around Texas,

90.536 - 91.944

[filler] if you have been in Texas, yeah.

93.197 - 93.608

[filler]

94.144 - 94.682

but

95.441 - 99.674

[filler] for a new home or for a special home

100.206 - 102.248

that may not be the case. So

102.688 - 105.569

[filler] I just need to ask, you said you are looking for a new home

106.334 - 113.206

and you want us to be, you know the house of your dreams, are you interested in looking for a home that is already built?

108.509 - 108.813

114.236 - 118.251

[filler] a home that is preowned but in wonderful condition

119.028 - 120.855

or do you want to

121.533 - 124.016

have a house designed and built for you first?

122.055 - 122.771

124.778 - 125.837

126.075 - 132.288

<initial>OMG</initial> I didnt even know that having my house owned and designed what as an option.

132.953 - 133.699

[filler]

133.834 - 134.304

134.264 - 138.338

You know I am kind of (()) spend here because I, I don't think I really.

138.342 - 138.967

139.377 - 142.520

I don't know. I think I want any and all of them maybe.

144.036 - 147.639

Maybe you can give me some prices on each of these options.

149.741 - 157.467

Okay. [filler] so the, the first one in just searching for a home and doing all the paper work for a home that is preowned.

158.181 - 166.602

[filler] that is the thousand dollar flat fee. We help you search for that. [filler] we contact the owners or we contact the company that is selling it.

167.324 - 172.443

[filler] we do all the phone calls, all the paper work for you and we report back to you for offers and things like that.

173.366 - 179.711

[filler] for the second option, if you want to get a new home, we also communicate with the company.

180.336 - 180.842

[filler]

Dataset Details

Language

English

Language code

en-us

Country

USA

Accents

Arizona, California ...moreColorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Alabama, Alaska

Gender Distribution

M:60, F:40

Age Group

18-70