# Dataset Card for Nexdata/UAE_Arabic_Spontaneous_Speech_Data

## Description
The 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. 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

For more details, please refer to the link: https://www.nexdata.ai/datasets/1180?source=Huggingface

# Specifications
## Format
16kHz, 16bit, mono channel;
## Content category
Interview; Speech; Variety, etc.
## Language
UAE Arabic;
## 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:ar region:us
{"language": ["ar"], "task_categories": ["automatic-speech-recognition"]}
TAGS
#task_categories-automatic-speech-recognition #language-Arabic #region-us 

# Dataset Card for Nexdata/UAE_Arabic_Spontaneous_Speech_Data

## Description
The 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. 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

For more details, please refer to the link: URL

# Specifications
## Format
16kHz, 16bit, mono channel;
## Content category
Interview; Speech; Variety, etc.
## Language
UAE Arabic;
## 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/UAE_Arabic_Spontaneous_Speech_Data ## Description
The 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. 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

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, mono channel; ## Content category
Interview; Speech; Variety, etc. ## Language
UAE Arabic; ## 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-Arabic #region-us 
 # Dataset Card for Nexdata/UAE_Arabic_Spontaneous_Speech_Data ## Description
The 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. 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

For more details, please refer to the link: URL # Specifications ## Format
16kHz, 16bit, mono channel; ## Content category
Interview; Speech; Variety, etc. ## Language
UAE Arabic; ## 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