Datasets:
metadata
license: cc-by-nc-nd-4.0
tags:
- speech recognition
- machine learning
- NLP
- ASR
- audio
- speech
- american
size_categories:
- 1K<n<10K
American Speech Dataset for recognition task
Dataset comprises 1,136 hours of telephone dialogues in American, collected from 1,416 native speakers across various topics and domains, achieving an impressive 95% Sentence Accuracy Rate. It is designed for research in automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in natural language processing (NLP), speech recognition, and machine learning technologies. - Get the data
💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.
Metadata for the dataset
- Audio files: High-quality recordings in WAV format
- Text transcriptions: Accurate and detailed transcripts for each audio segment
- Speaker information: Metadata on native speakers, including gender and etc
- Topics: Diverse domains such as general conversations, business and etc
This dataset is a valuable resource for researchers and developers working on speech recognition, language models, and speech technology.