# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone


## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: https://www.nexdata.ai/datasets/1004?source=Huggingface


## Format
16kHz, 16bit, uncompressed wav, mono channel

## Recording Environment
quiet indoor environment, without echo

## Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed

## Population
2,000 Americans, balance for gender;

## Annotation
annotating for the transcription text, speaker identification and gender

## Device
Android mobile phone, iPhone

## Language
American English

## Application scene
speech recognition,  voiceprint recognition

## Accuracy rate
95%

# Licensing Information
Commercial License
task_categories:conversational task_categories:automatic-speech-recognition language:en region:us
{"language": ["en"], "task_categories": ["conversational", "automatic-speech-recognition"], "YAML tags": [{"copy-paste the tags obtained with the tagging app": "https://github.com/huggingface/datasets-tagging"}]}
TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-English #region-us 

# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone


## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: URL


## Format
16kHz, 16bit, uncompressed wav, mono channel

## Recording Environment
quiet indoor environment, without echo

## Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed

## Population
2,000 Americans, balance for gender;

## Annotation
annotating for the transcription text, speaker identification and gender

## Device
Android mobile phone, iPhone

## Language
American English

## Application scene
speech recognition,  voiceprint recognition

## Accuracy rate
95%

# Licensing Information
Commercial License
# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone ## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: URL ## Format
16kHz, 16bit, uncompressed wav, mono channel ## Recording Environment
quiet indoor environment, without echo ## Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed ## Population
2,000 Americans, balance for gender; ## Annotation
annotating for the transcription text, speaker identification and gender ## Device
Android mobile phone, iPhone ## Language
American English ## Application scene
speech recognition,  voiceprint recognition ## Accuracy rate
95% # Licensing Information
Commercial License
TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-English #region-us 
 # 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone ## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: URL ## Format
16kHz, 16bit, uncompressed wav, mono channel ## Recording Environment
quiet indoor environment, without echo ## Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed ## Population
2,000 Americans, balance for gender; ## Annotation
annotating for the transcription text, speaker identification and gender ## Device
Android mobile phone, iPhone ## Language
American English ## Application scene
speech recognition,  voiceprint recognition ## Accuracy rate
95% # Licensing Information
Commercial License
passage: TAGS
#task_categories-conversational #task_categories-automatic-speech-recognition #language-English #region-us 
# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone## Description
2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.

For more details, please refer to the link: URL## Format
16kHz, 16bit, uncompressed wav, mono channel## Recording Environment
quiet indoor environment, without echo## Recording Content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed## Population
2,000 Americans, balance for gender;## Annotation
annotating for the transcription text, speaker identification and gender## Device
Android mobile phone, iPhone## Language
American English## Application scene
speech recognition,  voiceprint recognition## Accuracy rate
95%# Licensing Information
Commercial License