# Dataset Card for Nexdata/American_English_Spontaneous_Speech_Data

## Description
The 1,178-hour American English Spontaneous Speech Data is a collection of speech clips, covering multiple topics. Audio is transcribed into text, and speaker identity and other more attributes are annotated. This data set can be used for voiceprint recognition model training, construction of corpus for machine translation and algorithm research.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1115?source=Huggingface

# Specifications
## Format
16kHz, 16bit, mono channel;
## Content category
including self-media, conversation, live, lecture, variety-show.
## Language
American English;
## Annotation
annotation for the transcription text, speaker identification, gender;
## Application scenarios
speech recognition, video caption generation and video content review;
## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%.

# Licensing Information
Commercial License
task_categories:automatic-speech-recognition language:en region:us
{"language": ["en"], "task_categories": ["automatic-speech-recognition"]}
TAGS
#task_categories-automatic-speech-recognition #language-English #region-us 

# Dataset Card for Nexdata/American_English_Spontaneous_Speech_Data

## Description
The 1,178-hour American English Spontaneous Speech Data is a collection of speech clips, covering multiple topics. Audio is transcribed into text, and speaker identity and other more attributes are annotated. This data set can be used for voiceprint recognition model training, construction of corpus for machine translation and algorithm research.

For more details, please refer to the link: URL

# Specifications
## Format
16kHz, 16bit, mono channel;
## Content category
including self-media, conversation, live, lecture, variety-show.
## Language
American English;
## Annotation
annotation for the transcription text, speaker identification, gender;
## Application scenarios
speech recognition, video caption generation and video content review;
## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%.

# Licensing Information
Commercial License
# Dataset Card for Nexdata/American_English_Spontaneous_Speech_Data ## Description
The 1,178-hour American English Spontaneous Speech Data is a collection of speech clips, covering multiple topics. Audio is transcribed into text, and speaker identity and other more attributes are annotated. This data set can be used for voiceprint recognition model training, construction of corpus for machine translation and algorithm research.

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, mono channel; ## Content category
including self-media, conversation, live, lecture, variety-show. ## Language
American English; ## Annotation
annotation for the transcription text, speaker identification, gender; ## Application scenarios
speech recognition, video caption generation and video content review; ## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%. # Licensing Information
Commercial License
TAGS
#task_categories-automatic-speech-recognition #language-English #region-us 
 # Dataset Card for Nexdata/American_English_Spontaneous_Speech_Data ## Description
The 1,178-hour American English Spontaneous Speech Data is a collection of speech clips, covering multiple topics. Audio is transcribed into text, and speaker identity and other more attributes are annotated. This data set can be used for voiceprint recognition model training, construction of corpus for machine translation and algorithm research.

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, mono channel; ## Content category
including self-media, conversation, live, lecture, variety-show. ## Language
American English; ## Annotation
annotation for the transcription text, speaker identification, gender; ## Application scenarios
speech recognition, video caption generation and video content review; ## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%. # Licensing Information
Commercial License