TurkmenSpeech: 251 Hours of Turkmen Audio with Transcriptions for ASR

TurkmenSpeech is a dataset containing 251.86 hours of Turkmen speech audio with transcriptions, created by rozumov and last updated in February 2026. It comprises 119,847 audio clips sampled at 16,000 Hz, intended for training and evaluating Automatic Speech Recognition models. This dataset is described as one of the largest publicly available Turkmen speech collections.

Use Cases

• Training Turkmen-language speech recognition models based on the 251 hours of audio and text pairs.
• Evaluating ASR model performance on Turkmen speech using the provided transcriptions.
• Building or augmenting speech synthesis datasets for Turkmen based on the audio samples.
• Conducting linguistic research on Turkmen phonetics and speech patterns using the audio corpus.

Strengths

• Contains 251.86 hours of audio, providing a substantial volume of training data.
• Includes 119,847 individual speech clips, offering fine-grained samples.
• Audio is recorded at a 16,000 Hz sampling rate, which is a standard for speech processing tasks.

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.

Provenance

Source

rozumov on Hugging Face

Collection Method

Collection method is not specified in the provided description.

Time Range

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Freshness

Last updated 2026-02 04:17:37; freshness should be verified.

Geography

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