ud-nlp/american-speech-recognition-dataset

American Telephone Dialogues Dataset - 1,136 Hours

The dataset includes 1,136 hours of annotated telephone dialogues from 1,416 native speakers across the United States. Designed for advancing speech recognition models and language processing, this extensive speech data corpus covers diverse topics and domains, making it ideal for training robust automatic speech recognition (ASR) systems. - Get the data

Dataset characteristics:

Characteristic	Data
Description	Audio of telephone dialogues in American for training NLP models in real-world conversational scenarios.
Data types	Audio
Tasks	Speech recognition, NLP
Country	the United States(USA)
Hours of telephone dialogue	1,136
Number of speakers	1,416
Labeling	Annotation (text content, speaker's ID, gender, age and other attributes)
Gender	Male (45%), Female (55%)
Recording device	Android smartphone, iPhone

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Dataset structure

• audio - audio file
• text - text transcription
• American Speech Recognition Dataset.csv - metadata for the data

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Similar Datasets:

1. British English Speech Recognition Dataset
2. French Speech Recognition Dataset
3. Speech Emotion Recognition Dataset

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