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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… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/american-speech-recognition-dataset.

sourceHugging Facecc-by-nc-nd-4.0updated 8mo agoView on Hugging Face
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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](https://unidata.pro/datasets/american-speech-recognition-dataset/?utm_source=huggingface-nlp&utm_medium=referral&utm_campaign=american-speech-recognition-dataset)

Dataset characteristics:

CharacteristicData
DescriptionAudio of telephone dialogues in American for training NLP models in real-world conversational scenarios.
Data typesAudio
TasksSpeech recognition, NLP
Countrythe United States(USA)
Hours of telephone dialogue1,136
Number of speakers1,416
LabelingAnnotation (text content, speaker's ID, gender, age and other attributes)
GenderMale (45%), Female (55%)
Recording deviceAndroid 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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