FeruzaSpeech: A 60 Hour Uzbek Read Speech Corpus with Punctuation, Casing, and Context
This provides a valuable resource for speech recognition in Uzbek, addressing a data scarcity problem for researchers and developers in low-resource language domains, though it is incremental as it adds to existing datasets.
The paper tackles the lack of Uzbek speech data by introducing FeruzaSpeech, a 60-hour read speech corpus with transcripts in Cyrillic and Latin alphabets, and reports that integrating it enhances Word Error Rates on Uzbek datasets including CommonVoice 16.1.
This paper introduces FeruzaSpeech, a read speech corpus of the Uzbek language, containing transcripts in both Cyrillic and Latin alphabets, freely available for academic research purposes. This corpus includes 60 hours of high-quality recordings from a single native female speaker from Tashkent, Uzbekistan. These recordings consist of short excerpts from a book and BBC News. This paper discusses the enhancement of the Word Error Rates (WERs) on CommonVoice 16.1's Uzbek data, Uzbek Speech Corpus data, and FeruzaSpeech data upon integrating FeruzaSpeech.