ud-nlp/japanese-speech-recognition-dataset

Japanese Telephone Dialogues Dataset - 513 Hours

Dataset comprises 513 hours of high-quality telephone audio recordings in Japanese, featuring 800+ native speakers and achieving a 95% sentence accuracy rate. Designed for advancing speech recognition models and language processing, this extensive speech data corpus covers diverse topics and domains, making it ideal for training robust automatic speech recognition (ASR) systems. - Get the data

Dataset characteristics:

Characteristic	Data
Description	Audio of telephone dialogues in Japanese for training NLP models in real-world conversational scenarios.
Data types	Audio
Tasks	Speech recognition, NLP
Country	Japan (JPN)
Hours of telephone dialogue	513
Number of speakers	878
Labeling	Annotation (text content, speaker's ID, gender, age and other attributes)
Gender	Male (46%), Female (54%)
Recording device	Android smartphone, iPhone

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Dataset structure

• audio - audio file
• text - text transcription
• Japanese Speech Recognition Dataset.csv - metadata for the data

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Similar Datasets:

1. American Speech Recognition Dataset
2. LLM Text Generation Dataset
3. Russian Speech Recognition Dataset

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