Spk Attribute: Multilingual Speaker-Attributed Speech Recognition Training Data

Spk Attribute is a dataset for training the MSA-ASR model, created by nguyenvulebinh. The model performs multilingual speech recognition and speaker embedding extraction to differentiate speakers. The dataset was last updated on 2025-04-10.

Use Cases

• Training multilingual automatic speech recognition models based on the dataset's purpose.
• Extracting speaker embeddings for diarization tasks based on the model's described capabilities.
• Developing systems for speaker differentiation in multi-speaker audio based on the described model architecture.

Strengths

• Dataset is specifically designed for training the MSA-ASR model, which performs both multilingual speech recognition and speaker embedding extraction.
• Last updated on 2025-04-10, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

nguyenvulebinh on Hugging Face.

Collection Method

Likely collected or created for training the MSA-ASR model.

Time Range

null

Freshness

Last updated 2025-04-10 01:59:01.

Geography

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