# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data

## Description
3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1024?source=Huggingface

# Specifications
## Format
16kHz, 16bit, wav, mono channel;
## Content Category
Interview; Sports; Variety; Course; Entertainment, Service, etc.
## Annotation
annotation for the transcription text, speaker identification, gender
## Language
Mandarin
## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%
## Application scenarios
speech recognition, video caption generation and video content review

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

# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data

## Description
3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.

For more details, please refer to the link: URL

# Specifications
## Format
16kHz, 16bit, wav, mono channel;
## Content Category
Interview; Sports; Variety; Course; Entertainment, Service, etc.
## Annotation
annotation for the transcription text, speaker identification, gender
## Language
Mandarin
## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95%
## Application scenarios
speech recognition, video caption generation and video content review

# Licensing Information
Commercial License
# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data ## Description
3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, wav, mono channel; ## Content Category
Interview; Sports; Variety; Course; Entertainment, Service, etc. ## Annotation
annotation for the transcription text, speaker identification, gender ## Language
Mandarin ## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95% ## Application scenarios
speech recognition, video caption generation and video content review # Licensing Information
Commercial License
TAGS
#task_categories-automatic-speech-recognition #language-Chinese #region-us 
 # Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data ## Description
3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, wav, mono channel; ## Content Category
Interview; Sports; Variety; Course; Entertainment, Service, etc. ## Annotation
annotation for the transcription text, speaker identification, gender ## Language
Mandarin ## Accuracy
at a Sentence Accuracy Rate (SAR) of being no less than 95% ## Application scenarios
speech recognition, video caption generation and video content review # Licensing Information
Commercial License