Go back

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.

Total Volume

30 Speech Hours

Last updated

Jun 2024

Number of participants

Get this Speech Dataset

Speech training dataset for Realestate in English (India)

Download

Request Custom Collection

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)

ATTRIBUTES

Channel 1	Channel 2	Format
Male(29)	Female(24)	wav, json

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]

TRANSCRIPTION

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	So
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]