YodaLingua-Russian: 192 Hours of Russian Speech for TTS and ASR

67,482 audio-transcription pairs totaling 192 hours of Russian speech, contributed by 2,611 distinct speakers. The dataset is designed for training text-to-speech and automatic speech recognition systems. It was created by Thomcles and last updated on 2026-04-20.

Use Cases

• Train text-to-speech (TTS) systems based on high-quality, well-aligned audio-text pairs.
• Develop automatic speech recognition (ASR) models based on clean Russian speech recordings.
• Fine-tune voice cloning or speech synthesis models based on data from 2,611 distinct speakers.
• Benchmark speech processing algorithms based on a substantial collection of Russian audio.

Strengths

• 67,482 individual audio clips provide a substantial volume of training examples.
• 192 total hours of audio offers significant duration for model training.
• 2,611 distinct speakers likely contribute to speaker diversity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Thomcles on Hugging Face.

Collection Method

Likely collected as part of the multilingual YodaLingua collection, but specific gathering method is not detailed.

Freshness

Last updated 2026-04-20 14:43:57; freshness should be verified.