InfoBayAI/English_Real-World_Meeting_Audio_Dataset

English Real-World Meeting Audio Dataset

Overview

The English Real-World Meeting Audio Dataset is a language-specific collection of real-world, multi-speaker meeting conversations recorded in English.

The dataset captures natural discussions and conversational interactions, including interruptions and overlapping speech. It is part of a broader Real-World Meeting Audio Dataset collection covering multiple languages.

These recordings can support research and development in speech processing, conversational AI, audio understanding, and English-language speech technologies.

Dataset Highlights

• Language: English
• 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

• English-language meeting audio recordings.
• Natural interactions involving multiple speakers.
• Real-world discussions rather than scripted conversations.
• Conversational characteristics such as interruptions and overlapping speech.
• WAV audio files suitable for audio processing and machine learning workflows.

Language Coverage

This dataset focuses on English-language meeting conversations.

It is one of the language-specific subsets within the broader Real-World Meeting Audio Dataset, which includes recordings across multiple languages.

Audio Format

The audio recordings are provided in WAV (.wav) format.

WAV is commonly used in audio processing and speech technology workflows.

AI Tasks Supported

The dataset may be useful for research and development involving:

• English Automatic Speech Recognition (ASR)
• Speech and audio understanding
• Conversational AI development
• Natural Language Processing (NLP)
• Meeting conversation analysis
• Multi-speaker audio processing
• English-language speech technology research

Potential Applications

• Developing and evaluating English speech recognition systems.
• Researching conversational audio understanding.
• Building AI-powered meeting assistants.
• Developing voice-enabled applications.
• Training and evaluating conversational AI systems.
• Studying natural multi-speaker interactions.

Industries and Research Areas

Potential areas of application include:

• Artificial Intelligence and Machine Learning
• Speech Technology
• Natural Language Processing
• Conversational AI
• Enterprise Software
• Voice Technology
• Audio Analytics
• Academic and Language Research

Intended Audience

This dataset may be useful for:

• AI and machine learning researchers
• Speech recognition developers
• NLP researchers
• Conversational AI teams
• Audio processing engineers
• Voice technology developers
• Academic institutions
• Enterprise AI teams

Dataset Scope and Notes

• This dataset represents the English-language subset of the broader Real-World Meeting Audio Dataset.
• The broader collection includes additional language categories.
• The total duration of the parent collection should not be interpreted as the duration of this English subset.
• English-subset-specific recording duration, file count, and other statistics are not specified here.

Summary

The English Real-World Meeting Audio Dataset provides real-world, multi-speaker English meeting conversations in WAV format. With natural discussions, interruptions, and overlapping speech, it can support research and development across speech recognition, audio understanding, conversational AI, and English-language speech technologies.

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