FeruzaSpeech: A 60 Hour Uzbek Read Speech Corpus with Punctuation, Casing, and Context

2024-09-23 · Anna Povey, Katherine Povey

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.

📄 PDF Abstract BibTeX arXiv:2410.00035

Code (0)

등록된 구현이 없습니다.

USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments

2021-07-30 · Muhammadjon Musaev, Saida Mussakhojayeva, Ilyos Khujayorov, Yerbolat Khassanov 외

We present a freely available speech corpus for the Uzbek language and report preliminary automatic speech recognition (ASR) results using both the deep neural network hidden Markov model (DNN-HMM) and end-to-end (E2E) a…

Automatic Speech Recognition Automatic Speech Recognition (ASR)speech-recognition Speech Recognition

UzbekTagger: The rule-based POS tagger for Uzbek language

2023-01-30 · Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev, Ogabek Sobirov

This research paper presents a part-of-speech (POS) annotated dataset and tagger tool for the low-resource Uzbek language. The dataset includes 12 tags, which were used to develop a rule-based POS-tagger tool. The corpus…

Language Modeling Language Modelling Machine Translation POS+6

Creating a morphological and syntactic tagged corpus for the Uzbek language

2022-10-27 · Maksud Sharipov, Jamolbek Mattiev, Jasur Sobirov, Rustam Baltayev

Nowadays, creation of the tagged corpora is becoming one of the most important tasks of Natural Language Processing (NLP). There are not enough tagged corpora to build machine learning models for the low-resource Uzbek l…

POS

RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition

2020-05-01 · LREC 2020 5 · Alex Georgescu, ru-Lucian, Horia Cucu, Andi Buzo 외

Although many efforts have been made in the last decade to enhance the speech and language resources for Romanian, this language is still considered under-resourced. While for many other languages there are large speech …

Automatic Speech Recognition Automatic Speech Recognition (ASR)speech-recognition Speech Recognition

BBPOS: BERT-based Part-of-Speech Tagging for Uzbek

2025-01-17 · Latofat Bobojonova, Arofat Akhundjanova, Phil Ostheimer, Sophie Fellenz

This paper advances NLP research for the low-resource Uzbek language by evaluating two previously untested monolingual Uzbek BERT models on the part-of-speech (POS) tagging task and introducing the first publicly availab…

Part-Of-Speech Tagging POS POS Tagging Sensitivity