Real World Meeting Audio Dataset
Collection
Contains 9 Languages of Real World Meeting Dataset • 10 items • Updated
filename string | relative_path string | extension string | file_type string | file_bytes unknown | file_size_bytes int64 | compressed_size_bytes int64 | individually_compressed bool |
|---|---|---|---|---|---|---|---|
Sample - 01.wav | Arabic Language/Sample - 01.wav | .wav | other | "KLUv/YBo8AjQE7QWAfqxEB41cEmSNpJ2psjehJBGmm3WHgZ0ggTwE1BV1YmCwPEvAcrIAQCUR2j0H1lrWyOtEUIksru7u3fhAdU(...TRUNCATED) | 332,400,880 | 192,429,283 | true |
Arabic Real-World Meeting Audio Dataset
Overview
The Arabic Real-World Meeting Audio Dataset is an Arabic-language audio dataset featuring recordings of real-world, multi-speaker meeting conversations.
As a language-specific part of the broader Real-World Meeting Audio Dataset, this collection focuses on naturally occurring Arabic discussions and conversational interactions. The recordings reflect the characteristics of real meeting environments, including natural discussions, interruptions, and overlapping speech.
The dataset provides audio resources for researchers and developers working on Arabic speech technologies, conversational AI, and audio-based machine learning applications.
Dataset Highlights
- Language: Arabic
- Content: Real-world meeting conversations
- Audio Format: WAV
- Conversation Type: Multi-speaker discussions
- Speech Characteristics: Natural conversations, interruptions, and overlapping speech
- Collection: Part of the broader Real-World Meeting Audio Dataset
Dataset Features
- Arabic-language meeting audio recordings.
- Natural conversational interactions involving multiple speakers.
- Real-world discussion patterns rather than scripted dialogue.
- Interruptions and overlapping speech commonly found in meeting conversations.
- WAV audio files suitable for audio processing and machine learning workflows.
Language Coverage
This dataset focuses specifically on Arabic.
It represents the Arabic-language component of the broader Real-World Meeting Audio Dataset, which includes multiple language categories.
Audio Format
The audio recordings are provided in:
.wav
AI Tasks Supported
The dataset may be useful for developing and evaluating systems for:
- Arabic automatic speech recognition (ASR)
- Speech and audio understanding
- Conversational AI
- Natural language processing
- Meeting conversation analysis
- Multi-speaker audio processing
- Arabic-language speech technology research
Potential Applications
- Development of Arabic speech recognition systems.
- Training conversational AI models.
- Research on natural Arabic conversations.
- Development of meeting-focused audio applications.
- Arabic-language voice interfaces.
- Audio-based machine learning research.
- Evaluation of systems operating on natural conversational speech.
Industries and Research Areas
Potential areas of use include:
- Artificial Intelligence and Machine Learning
- Natural Language Processing
- Speech Technology
- Conversational AI
- Meeting and Collaboration Software
- Voice Technology
- Academic and Language Research
- Audio Analytics
Intended Audience
- AI and machine learning researchers
- Speech recognition developers
- Natural language processing researchers
- Conversational AI teams
- Audio processing engineers
- Arabic-language technology developers
- Academic institutions
- Enterprise AI teams
Dataset Scope and Notes
- This dataset represents the Arabic-language subset of the broader Real-World Meeting Audio Dataset.
- The broader collection includes additional languages, but this dataset focuses on Arabic.
- The 50K+ hours figure associated with the broader collection is not presented as a statistic for this Arabic subset.
- Arabic-specific recording duration, file count, and other quantitative statistics have not been specified here.
Summary
The Arabic Real-World Meeting Audio Dataset provides WAV recordings of natural, multi-speaker Arabic meeting conversations, including discussions, interruptions, and overlapping speech.
It is intended to support research and development in Arabic speech recognition, conversational AI, audio understanding, and other speech-related machine learning applications.
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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