Algorithms for Automatic Accentuation and Transcription of Russian Texts in Speech Recognition Systems

Olga Yakovenko, Ivan Bondarenko, Mariya Borovikova, Daniil Vodolazsky

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

2 Цитирования (Scopus)


This paper presents an overview of rule-based system for automatic accentuation and phonemic transcription of Russian texts for speech connected tasks, such as Automatic Speech Recognition (ASR). Two parts of the developed system, accentuation and transcription, use different approaches to achieve correct phonemic representations of input phrases. Accentuation is based on “Grammatical dictionary of the Russian language” of A.A. Zaliznyak and wiktionary corpus. To distinguish homographs, the accentuation system also utilises morphological information of the sentences based on Recurrent Neural Networks (RNN). Transcription algorithms apply the rules presented in the monograph of B.M. Lobanov and L.I. Tsirulnik “Computer Synthesis and Voice Cloning”. The rules described in the present paper are implemented in an open-source module, which can be of use to any scientific study connected to ASR or Speech To Text (STT) tasks. Automatically marked up text annotations of the Russian Voxforge database were used as training data for an acoustic model in CMU Sphinx. The resulting acoustic model was evaluated on cross-validation, mean Word Accuracy being 71.2%. The developed toolkit is written in the Python language and is accessible on GitHub for any researcher interested.

Язык оригиналаанглийский
Название основной публикацииSpeech and Computer - 20th International Conference, SPECOM 2018, Proceedings
РедакторыA Karpov, O Jokisch, R Potapova
ИздательSpringer-Verlag GmbH and Co. KG
Число страниц10
ISBN (печатное издание)9783319995786
СостояниеОпубликовано - 1 янв 2018
Событие20th International Conference on Speech and Computer, SPECOM 2018 - Leipzig, Германия
Продолжительность: 18 сен 201822 сен 2018

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11096 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349


Конференция20th International Conference on Speech and Computer, SPECOM 2018


Подробные сведения о темах исследования «Algorithms for Automatic Accentuation and Transcription of Russian Texts in Speech Recognition Systems». Вместе они формируют уникальный семантический отпечаток (fingerprint).