50K+ Hours Real-World Meeting Audio Dataset
Audio, Speech & Acoustic Datasets
Tags and Keywords
£371,000
About
50K+ Hours Multilingual Real-World Meeting Audio Dataset
Description
The 50K+ Hours Multilingual Real-World Meeting Audio Dataset is a large-scale collection of multilingual, real-world meeting and conversational audio designed for Speech AI, Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Conversational AI, Speaker Recognition, and Meeting Intelligence applications.
With 50K+ hours of meeting audio, the dataset provides diverse conversational speech captured in realistic meeting environments. It can support the development and evaluation of AI systems that understand multi-speaker conversations, spoken language, dialogue, speaker interactions, meeting discussions, and conversational context.
The dataset is particularly valuable for training and fine-tuning speech recognition models, speech-to-text systems, conversational AI models, meeting transcription systems, speaker diarization models, voice analytics solutions, and speech-language models. Its real-world conversational characteristics can help AI systems better handle natural speech patterns, multiple speakers, varied speaking styles, and complex dialogue.
Note: Pricing can vary depending on several factors, including the number of audio hours, audio quality, language and dialect coverage, metadata availability, transcription availability, speaker information, file formats, licensing requirements, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| Meeting Audio | Real-world audio recordings of meetings and conversational interactions. |
| Multi-Speaker Conversations | Audio containing interactions between multiple participants. |
| Spoken Language | Natural spoken language captured during meeting discussions. |
| Multilingual Speech | Meeting and conversational audio covering multiple languages and dialects where available. |
| Speaker Information | Available speaker-level information for identifying or distinguishing participants. |
| Speaker Diarization | Speaker segmentation or speaker labels where available. |
| Dialogue Content | Conversational exchanges, discussions, questions, responses, and interactions. |
| Meeting Context | Information about meeting type, setting, topic, or industry where available. |
| Audio Metadata | Technical metadata such as duration, format, codec, sample rate, channels, and bitrate where available. |
| Language & Dialect | Language and dialect information where available. |
| Quality Information | Audio quality and recording characteristics where available. |
Distribution
The dataset is distributed as digital meeting audio files, with associated metadata and transcripts where available.
- Format: WAV and MP3 formats.
- Data Type: Real-world meeting and conversational speech audio.
- Data Volume: 50K+ hours of meeting audio.
- Audio Content: Multi-speaker conversations, discussions, dialogue, questions, responses, and natural speech.
- Dataset Size: File size may vary depending on audio duration, sample rate, bit depth, number of channels, codec, compression, and file format.
Usage
This data product is ideal for a variety of Speech AI, Conversational AI, ASR, NLP, and Meeting Intelligence applications:
- Automatic Speech Recognition (ASR): Train and evaluate speech-to-text and automatic transcription models.
- Multilingual Speech AI: Develop and evaluate AI systems for speech recognition, transcription, translation, and conversational understanding across multiple languages.
- Meeting Transcription: Develop systems for converting real-world meetings into searchable text.
- Speaker Diarization: Identify and segment different speakers within multi-person conversations.
- Conversational AI: Train AI systems to understand natural multi-speaker conversations and dialogue.
- Speech-Language Models: Support training and evaluation of models that connect spoken language with language understanding.
- Meeting Intelligence: Develop AI systems for meeting summarization, topic extraction, action-item detection, and discussion analysis.
- Voice Analytics: Analyze conversational patterns, speech characteristics, and speaker interactions.
- Speaker Recognition: Develop systems for speaker identification and verification where appropriate metadata is available.
- Speech Analytics: Extract insights from real-world spoken conversations.
- NLP & Dialogue Understanding: Support dialogue classification, intent recognition, topic detection, and conversational analysis.
- Multilingual Speech AI: Support speech model development across available languages and dialects.
- AI Model Training: Train, fine-tune, and evaluate speech, audio, and conversational AI models.
- Research & Benchmarking: Support academic and commercial research in speech recognition, conversational intelligence, and spoken-language understanding.
Coverage
- Geographic Coverage: Global.
- Language Coverage: Multiple languages and/or dialects where represented in the dataset.
- Meeting Coverage: Business, professional, educational, collaborative, and other real-world meeting contexts where available.
- Speaker Coverage: Multiple speakers and conversational participants.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
file_name | STRING | Name of the audio file. | Audio filename |
file_format | STRING | Format of the audio recording. | WAV, MP3, etc. |
duration_sec | FLOAT | Duration of the recording in seconds. | Positive numeric value |
duration_hours | FLOAT | Duration of the recording in hours. | Positive numeric value |
speaker_id | STRING | Identifier for a speaker where available. | Alphanumeric identifier / NULL |
speaker_count | INTEGER | Number of speakers represented in the recording where available. | Positive integer / NULL |
language | STRING | Primary language spoken in the recording. | Multilingual |
dialect | STRING | Dialect or regional language variation where available. | Dialect / NULL |
meeting_type | STRING | Type or context of the meeting where available. | Business, Educational, Professional, etc. |
sample_rate_khz | FLOAT | Audio sampling frequency. | Numeric value |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
Additional Notes
- The dataset contains 50K+ hours of real-world meeting audio, providing substantial volume for large-scale speech and conversational AI development.
- Real-world meeting conversations can provide diverse examples of multi-speaker dialogue, natural speech, conversational interactions, and varied speaking styles.
- The dataset is particularly suitable for ASR, speech-to-text, speaker diarization, meeting intelligence, conversational AI, speech analytics, and speech-language model development.
- Dataset size may vary depending on audio duration, sample rate, bit depth, number of channels, codec, compression, file format, and selected delivery batch.
- The listed dataset volume represents 50K+ hours of audio; the corresponding storage size may vary based on the technical characteristics of the audio files.
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£371,000
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