title: ÐÐ½ÑÐµÐ³ÑÐ°ÑÐ¸Ð¾Ð½Ð½ÑÐ¹ Ð¿Ð¾Ð´Ñ Ð¾Ð´ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð·Ð°ÑÑÐ¼Ð»ÐµÐ½Ð½Ð¾Ð¹ ÑÑÑÑÐºÐ¾ÑÐ·ÑÑÐ½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Integration approach for recognizing noisy Russian-language speech
Creators: name: ÐÐ¾Ð¼Ð¾Ð½ÑÐº, ÐÐ°Ð½Ð¸Ð¸Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÑÐµÑÐ¸
deepspeech
kaldi
ÑÐµÐºÑÑÑÐµÐ½ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ·ÑÐºÐ¾Ð²ÑÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸
speech-to-text
machine learning
speech recognition
recurrent neural networks
deep learning
language models

description: Ð Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð°ÑÐ´Ð¸Ð¾ Ð·Ð°Ð¿Ð¸ÑÐ¸ Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÐ¹ ÑÐ¾ÑÐ¼Ð°Ñ Ð´Ð°Ð½Ð½ÑÑ, Ð¸Ð½ÑÐ¼Ð¸ ÑÐ»Ð¾Ð²Ð°Ð¼Ð¸, ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÑÐµÑÐ¸. ÐÑÐ¾Ð±ÑÐ¹ Ð°ÐºÑÐµÐ½Ñ ÑÐ´ÐµÐ»Ð°Ð½ Ð½Ð° ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ Ð·Ð°ÑÑÐ¼Ð»ÐµÐ½Ð½Ð¾Ð¹ ÑÑÑÑÐºÐ¾Ð¹ ÑÐµÑÐ¸. 

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description: The research paper considers methods for the automated conversion of audio recordings into a text data format, in other words, speech recognition. Particular emphasis is placed on the recognition of noisy Russian speech. 
The paper provides an overview of existing speech recognition methods, which include: integrated and hybrid methods. A review and comparative analysis of existing implementations of the proposed methods and their metrics is also given. Based on a comparative analysis, it was concluded that Mozilla DeepSpeech technology is the most powerful speech recognition tool. 

A distinctive feature of the work is the use of the combined recognition method, which allows to improve the recognition quality of noisy recordings. The following methods are combined: integrated and modular methods. The proposed method is implemented in a software package for recognizing noisy Russian-language speech using Mozilla DeepSpeech, and Kaldi technologies. The results showing the effectiveness of the proposed integrated method are demonstrated. 

The developed software package can be used in companies engaged in technical support to increase the efficiency of processing customer requests.