Real World Meeting Audio Dataset
Collection
Contains 9 Languages of Real World Meeting Dataset • 10 items • Updated
Datasets:
Formats:
parquet
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< 1K
Tags:
meeting-audio
real-world-audio
conversational-audio
speech-data
multi-speaker-audio
speech-recognition
License:
Real-World Meeting Audio Dataset
Overview
The Real-World Meeting Audio Dataset is a large-scale collection of real-world, multi-speaker meeting conversations featuring natural discussions, interruptions, and overlapping speech.
With 50K+ hours of audio, the dataset covers nine language categories: Arabic, Chinese, English, French, German, Italian, Japanese, Portuguese, and Spanish.
The recordings capture natural conversational interactions in meeting environments, providing audio data relevant to speech processing, multilingual audio understanding, conversational AI, and machine learning research.
The dataset also includes rich metadata, with speaker timestamps, diarization, transcripts, and meeting context identified as part of its metadata coverage.
Audio recordings are provided in WAV format.
Dataset Highlights
- 50K+ Hours of Audio: Large-scale real-world meeting audio collection.
- Multi-Speaker Conversations: Recordings featuring multiple speakers.
- Natural Discussions: Real-world conversational interactions.
- Overlapping Speech: Includes conversations with overlapping speech and interruptions.
- Nine Language Categories: Covers Arabic, Chinese, English, French, German, Italian, Japanese, Portuguese, and Spanish.
- Rich Metadata: Includes speaker-related and meeting-related information.
- WAV Audio Format: Audio recordings provided in WAV format.
- Sample Availability: Samples are available for exploring the dataset.
Language Coverage
The dataset is organized into nine language categories:
| No. | Language |
|---|---|
| 1 | Arabic |
| 2 | Chinese |
| 3 | English |
| 4 | French |
| 5 | German |
| 6 | Italian |
| 7 | Japanese |
| 8 | Portuguese |
| 9 | Spanish |
Dataset Features
| Feature | Description |
|---|---|
| Dataset name | Real-World Meeting Audio Dataset |
| Dataset type | Real-world meeting audio |
| Audio format | WAV |
| Audio duration | 50K+ hours |
| Conversation type | Multi-speaker meetings |
| Speech characteristics | Natural discussions, interruptions, overlapping speech |
| Language categories | 9 |
| Metadata | Rich meeting and speaker-related metadata |
| Samples | Available |
Audio Characteristics
The dataset captures conversational characteristics found in real-world meetings, including:
- Multi-speaker discussions
- Natural conversational exchanges
- Speaker interruptions
- Overlapping speech
- Meeting-based conversations
- Real-world speaking interactions
Metadata Coverage
The dataset includes rich metadata covering:
- Speaker timestamps
- Speaker diarization
- Transcripts
- Meeting context
Supported AI and Research Tasks
The dataset may be useful for research and development involving:
- Automatic speech recognition (ASR)
- Multilingual speech processing
- Multi-speaker audio understanding
- Speaker-related audio analysis
- Conversational AI
- Meeting audio analysis
- Speech segmentation research
- Overlapping speech analysis
- Audio classification
- Natural language and speech technology research
Applications
Potential applications include:
- AI-powered meeting analysis
- Multilingual speech recognition systems
- Conversational AI development
- Speech processing research
- Meeting transcription research
- Multi-speaker conversation analysis
- Audio understanding systems
- Speech technology development
- Machine learning experimentation
- Research into natural conversational interactions
Dataset Format
The confirmed audio file format is:
| Extension | Content |
|---|---|
.wav |
Audio recordings |
Sample Availability
Samples are available for users who want to explore the Real-World Meeting Audio Dataset.
The sample availability provides an opportunity to review the audio content and understand the characteristics of real-world multi-speaker meeting conversations.
Dataset Statistics
| Metric | Dataset Information |
|---|---|
| Total audio duration | 50K+ hours |
| Language categories | 9 |
| Conversation type | Multi-speaker meetings |
| Audio format | WAV |
Intended Audience
This dataset may be relevant to:
- AI and machine learning researchers
- Speech recognition developers
- Audio processing researchers
- Conversational AI developers
- Natural language processing researchers
- Multilingual AI teams
- Speech technology companies
- Academic institutions
- Enterprise AI development teams
- Audio analytics developers
Notes and Limitations
- The dataset contains real-world multi-speaker meeting conversations.
- Audio recordings are provided in WAV format.
- Nine language categories are represented.
- Conversations include natural discussions, interruptions, and overlapping speech.
- The reported audio duration is presented as 50K+ hours.
- Specific language-wise duration distributions and additional file-level metadata details are not specified in this README.
Summary
The Real-World Meeting Audio Dataset is a large-scale multilingual audio collection featuring 50K+ hours of real-world meeting conversations across nine language categories.
With multi-speaker discussions, natural interruptions, overlapping speech, WAV audio recordings, and rich metadata, the dataset is relevant to speech recognition, multilingual audio processing, conversational AI, and meeting audio understanding research.
Data Creation
Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.
-Ph: +91 9236398619
-Email: datareq@infobay.ai
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