nickoo004/FeruzaSpeech_to_fine_tuning

FeruzaSpeechtofine_tuning

A speech corpus of ⏱️ ~59.1 total hours of Uzbek audio paired with Latin‑script transcripts, intended for fine‑tuning ASR / speech‑to‑text models.

Dataset Details

Dataset Description

This dataset contains recordings of native Uzbek speakers reading a mix of classical literature excerpts and school‑level writing prompts:

• —001: Choliqushi (a novel by Rashod Nuri Guntekin, trans. by Mirzakalon Ismoiliy; first pub. Sept 1900).
• —002: Excerpts from Uzbek secondary‑school essays (“To‘rtinchi sinfda edim…”, “Hayotdagi ilk xotiralaringizni yozing…”).
• —.....

Each line in text_latin.txt is of the form:

//

We strip the filename prefix in preprocessing so that the text field contains only the spoken words.

Dataset Statistics

Dataset Creation

Curation Rationale

We aim to provide a high‑quality, publicly available Uzbek ASR dataset combining both literary and educational domains to improve model robustness.

Source Data

• —Audio recorded in a quiet home‑studio environment, 16 kHz mono WAV, 16‑bit PCM.
• —Transcripts created from existing texts (classical novels, school writing prompts).

Who Are the Source Data Producers?

• —Recordings & Transcriptions by: k2speech/FeruzaSpeech
• —Translators / Editors: Nickoo 004

Uses

Direct Use

Fine‑tuning or evaluating speech‑to‑text/ASR models for Uzbek. It’s also suitable for speech processing research (voice activity detection, speaker diarization, etc.).

Out‑of‑Scope Use

• —Speaker identification / sensitive demographic inference.
• —Real‑time speech generation.

Supported Tasks and Leaderboards

• —Task: Automatic Speech Recognition

Dataset Structure

Each example has the following fields:

• —audio: an Audio object (array + sampling_rate)
• —text: Latin‑script transcript, cleaned of filename tokens
• —duration: audio length in seconds
• —token_count: length of the transcript in raw word‑piece tokens

Distribution

• —License: Apache 2.0
• —Repository: https://huggingface.co/datasets/nickoo004/FeruzaSpeechtofine_tuning

Who Maintains This Dataset

• —Created and maintained by: Nickoo 004
• —Last updated: 2025‑05‑02
• —Contact & Social:
• —Email: nursultankoshekbaev477@gmail.com

Citation

If you use this dataset, please cite:

@misc{feruzaspeech2025,
  title        = {FeruzaSpeech\_to\_fine\_tuning: An Uzbek ASR Dataset},
  author       = {Nickoo\, 004},
  year         = {2025},
  howpublished = {\url{https://huggingface.co/datasets/nickoo004/FeruzaSpeech_to_fine_tuning}},
  license      = {Apache 2.0}
}