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US Spanish Call Center Data for Realestate AI
- futurebeeai.com
wavUpdated Aug 1, 2022
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EmailClick to copy linkLink copiedCiteFutureBee AI (2022). US Spanish Call Center Data for Realestate AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/realestate-call-center-conversation-spanish-usawavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredUnited StatesDataset funded byFutureBeeAIDescriptionIntroduction
This US Spanish Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Spanish -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.
Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.
Speech Data
The dataset features 30 hours of dual-channel call center recordings between native US Spanish speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.
•Participant Diversity:•Speakers: 60 native US Spanish speakers from our verified contributor community.•Regions: Representing different provinces across USA to ensure accent and dialect variation.•Participant Profile: Balanced gender mix (60% male, 40% female) and age range from 18 to 70.•Recording Details:•Conversation Nature: Naturally flowing, unscripted agent-customer discussions.•Call Duration: Average 5–15 minutes per call.•Audio Format: Stereo WAV, 16-bit, recorded at 8kHz and 16kHz.•Recording Environment: Captured in noise-free and echo-free conditions.Topic Diversity
This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.
•Inbound Calls:•Property Inquiries•Rental Availability•Renovation Consultation•Property Features & Amenities•Investment Property Evaluation•Ownership History & Legal Info, and more•Outbound Calls:•New Listing Notifications•Post-Purchase Follow-ups•Property Recommendations•Value Updates•Customer Satisfaction Surveys, and othersSuch domain-rich variety ensures model generalization across common real estate support conversations.
Transcription
All recordings are accompanied by precise, manually verified transcriptions in JSON format.
•Transcription Includes:•Speaker-Segmented Dialogues•Time-coded Segments•Non-speech Tags (e.g., background noise, pauses)•High transcription accuracy with word error rate below 5% via dual-layer human review.These transcriptions streamline ASR and NLP development for Spanish real estate voice applications.
Metadata
Detailed metadata accompanies each participant and conversation:
•Participant Metadata: ID, age, gender, location, accent, and dialect.•Conversation Metadata: Topic, call type, sentiment, sample rate, and technical details.This enables smart filtering, dialect-focused model training, and structured dataset exploration.
Usage and Applications
This dataset is ideal for voice AI and NLP systems built for the real estate sector:
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Spanish (Spain) Call Center Data for Realestate AI
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Spanish (Spain) Call Center Data for Realestate AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/realestate-call-center-conversation-spanish-spainwavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredSpainDataset funded byFutureBeeAIDescriptionIntroduction
This Spanish Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Spanish -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.
Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.
Speech Data
The dataset features 30 hours of dual-channel call center recordings between native Spanish speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.
•Participant Diversity:•Speakers: 60 native Spanish speakers from our verified contributor community.•Regions: Representing different provinces across Spain to ensure accent and dialect variation.•Participant Profile: Balanced gender mix (60% male, 40% female) and age range from 18 to 70.•Recording Details:•Conversation Nature: Naturally flowing, unscripted agent-customer discussions.•Call Duration: Average 5–15 minutes per call.•Audio Format: Stereo WAV, 16-bit, recorded at 8kHz and 16kHz.•Recording Environment: Captured in noise-free and echo-free conditions.Topic Diversity
This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.
•Inbound Calls:•Property Inquiries•Rental Availability•Renovation Consultation•Property Features & Amenities•Investment Property Evaluation•Ownership History & Legal Info, and more•Outbound Calls:•New Listing Notifications•Post-Purchase Follow-ups•Property Recommendations•Value Updates•Customer Satisfaction Surveys, and othersSuch domain-rich variety ensures model generalization across common real estate support conversations.
Transcription
All recordings are accompanied by precise, manually verified transcriptions in JSON format.
•Transcription Includes:•Speaker-Segmented Dialogues•Time-coded Segments•Non-speech Tags (e.g., background noise, pauses)•High transcription accuracy with word error rate below 5% via dual-layer human review.These transcriptions streamline ASR and NLP development for Spanish real estate voice applications.
Metadata
Detailed metadata accompanies each participant and conversation:
•Participant Metadata: ID, age, gender, location, accent, and dialect.•Conversation Metadata: Topic, call type, sentiment, sample rate, and technical details.This enables smart filtering, dialect-focused model training, and structured dataset exploration.
Usage and Applications
This dataset is ideal for voice AI and NLP systems built for the real estate sector:
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Mexican Spanish Call Center Data for Realestate AI
- futurebeeai.com
wavUpdated Aug 1, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteFutureBee AI (2022). Mexican Spanish Call Center Data for Realestate AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/realestate-call-center-conversation-spanish-mexicowavAvailable download formatsDataset updatedAug 1, 2022Dataset provided byFutureBeeAIAuthorsFutureBee AILicensehttps://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Area coveredMexicoDataset funded byFutureBeeAIDescriptionIntroduction
This Mexican Spanish Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Spanish -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.
Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.
Speech Data
The dataset features 30 hours of dual-channel call center recordings between native Mexican Spanish speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.
•Participant Diversity:•Speakers: 60 native Mexican Spanish speakers from our verified contributor community.•Regions: Representing different provinces across Mexico to ensure accent and dialect variation.•Participant Profile: Balanced gender mix (60% male, 40% female) and age range from 18 to 70.•Recording Details:•Conversation Nature: Naturally flowing, unscripted agent-customer discussions.•Call Duration: Average 5–15 minutes per call.•Audio Format: Stereo WAV, 16-bit, recorded at 8kHz and 16kHz.•Recording Environment: Captured in noise-free and echo-free conditions.Topic Diversity
This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.
•Inbound Calls:•Property Inquiries•Rental Availability•Renovation Consultation•Property Features & Amenities•Investment Property Evaluation•Ownership History & Legal Info, and more•Outbound Calls:•New Listing Notifications•Post-Purchase Follow-ups•Property Recommendations•Value Updates•Customer Satisfaction Surveys, and othersSuch domain-rich variety ensures model generalization across common real estate support conversations.
Transcription
All recordings are accompanied by precise, manually verified transcriptions in JSON format.
•Transcription Includes:•Speaker-Segmented Dialogues•Time-coded Segments•Non-speech Tags (e.g., background noise, pauses)•High transcription accuracy with word error rate below 5% via dual-layer human review.These transcriptions streamline ASR and NLP development for Spanish real estate voice applications.
Metadata
Detailed metadata accompanies each participant and conversation:
•Participant Metadata: ID, age, gender, location, accent, and dialect.•Conversation Metadata: Topic, call type, sentiment, sample rate, and technical details.This enables smart filtering, dialect-focused model training, and structured dataset exploration.
Usage and Applications
This dataset is ideal for voice AI and NLP systems built for the real estate sector:
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US Spanish call center speech corpus in realestate industry
https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement
Introduction
This US Spanish Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Spanish -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.
Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.
Speech Data
The dataset features 30 hours of dual-channel call center recordings between native US Spanish speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.
Topic Diversity
This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.
Such domain-rich variety ensures model generalization across common real estate support conversations.
Transcription
All recordings are accompanied by precise, manually verified transcriptions in JSON format.
These transcriptions streamline ASR and NLP development for Spanish real estate voice applications.
Metadata
Detailed metadata accompanies each participant and conversation:
This enables smart filtering, dialect-focused model training, and structured dataset exploration.
Usage and Applications
This dataset is ideal for voice AI and NLP systems built for the real estate sector: