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--- |
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YAML tags: |
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- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging |
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language: |
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- fi |
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task_categories: |
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- automatic-speech-recognition |
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--- |
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# Dataset Card for Nexdata/Finnish_Spontaneous_Speech_Data |
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## Description |
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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 |
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For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1248?source=Huggingface |
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# Specifications |
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## Format |
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16kHz, 16bit, mono channel; |
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## Content category |
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including conversation, course, life, etc |
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## Language |
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Finnish |
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## Annotation |
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annotation for the transcription text, speaker identification, gender; |
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## Application scenarios |
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speech recognition, video caption generation and video content review; |
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## Accuracy |
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at a Word Accuracy Rate (WAR) of being no less than 95%. |
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# Licensing Information |
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Commercial License |
