Common Voice 24.0 Mongolian: Cleaned Audio for Text-to-Speech Training

Common Voice 24.0 Mongolian - Cleaned Dataset is a high-quality, cleaned audio collection derived from the Mozilla Common Voice version 24.0 project. The dataset, created by author 'btsee', has been processed through a quality filtering and preprocessing pipeline optimized for Text-to-Speech training. It was last updated on the Hugging Face platform in January 2026.

Use Cases

• Train Text-to-Speech models based on the described high-quality, cleaned Mongolian audio recordings.
• Fine-tune speech recognition systems based on the preprocessed audio samples from the Common Voice corpus.
• Benchmark audio processing pipelines based on the described quality filtering and preprocessing steps.

Strengths

• Dataset is explicitly optimized for Text-to-Speech training, as stated in the description.
• Audio samples have been processed through a described quality filtering and preprocessing pipeline.
• Source data originates from the authoritative Mozilla Common Voice version 24.0 project.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact size are unknown, which may limit suitability assessment.
• License information is unknown, which could restrict usage.

Provenance

Source

Mozilla Common Voice version 24.0

Collection Method

Derived and cleaned from the open-source Common Voice corpus.

Time Range

null

Freshness

Last updated 2026-01-26 17:13:23; freshness should be verified.

Geography

Mongolian (Khalkha) language focus