---
YAML tags:
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
task_categories:
- conversational
- automatic-speech-recognition
language:
- en
---
# 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/speechrecog/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