---
YAML tags:
- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
language:
- fi
task_categories:
- automatic-speech-recognition
---
# Dataset Card for Nexdata/Finnish_Spontaneous_Speech_Data

## Description
The 233 Hours - Finnish Spontaneous Speech Data is a collection of speech clips, the content covering multiple topics. All the speech audio was manually transcribed into text; 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/speechrecog/1248?source=Huggingface

# Specifications
## Format
16kHz, 16bit, mono channel;
## Content category
including conversation, course, life, etc
## Language
Finnish
## Annotation
annotation for the transcription text, speaker identification, gender;
## Application scenarios
speech recognition, video caption generation and video content review;
## Accuracy
at a Word Accuracy Rate (WAR) of being no less than 95%.

# Licensing Information
Commercial License