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(2015)
Automatic speech recognition: Main stages in 50 years, Nauchno-Tekh
(2019)
Statistical assessment of the associative power of meaningless letter combinations
(2003)
Sintez i raspoznavanie rechi. Sovremennye resheniya (Speech Synthesis and Recognition
(1989)
Osnovy logopedii: Ucheb. posobie (Basics of Speech Therapy: Handbook)
(2010)
Research and development of a method for digital processing of a speech signal to obtain the dynamics of the format characteristics of word sounds
J. Gauvain, L. Lamel (2010)
Speech Recognition Systems
N. Slavnov, Y. Stroganov, A. Kvasnikov (2020)
System for Speech Corpus Development2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)
J. Daugman, Andy Adler, S. Schuckers, K. Nandakumar, L. Kennell, R. Rakvic, R. Broussard, D. Matrouf, J. Bonastre, R. Cappelli, M. Martinez-Diaz, Julian Fiérrez, S. Hangai, O. Henniger, D. Muramatsu, T. Matsumoto, I. Yoshimura, M. Yoshimura, Liang Wan, Zhouchen Lin, D. Usher, Y. Tosa, M. Friedman, A. Elgammal, Crystal Muang, Dunxu Hu, Dong Yi, Weilong Yang, S. Li, Xiangxin Zhu, Zhen Lei, Mingquan Zhou, A. Jain, Arun Ross, A. Martin, D. Ramos, J. Gonzalez-Dominguez, D. Toledano, J. González-Rodríguez, J. Hennebert, Judith Markowitz, Laura Docío-Fernández, C. García-Mateo, J. González-Rodríguez, Jong Kim, Kye-Hyeon Kim, Seungjin Choi, M. Adankon, M. Cheriet, Ramalingam Chellappa, A. Sankaranarayanan (1983)
Speech recognition1983 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, XXVI
C. Montacié, Marie-José Caraty (2016)
Prosodic Cues and Answer Type Detection for the Deception Sub-Challenge
(2018)
Statistical analysis of digital synthesis of a speech signal based on its autoregressive model, DSPA: Vopr
(2003)
Commercial speech lie detectors
(2019)
Analysis of problems of automatic recognition of Russian speech, Tekhnol
(2016)
Methods for studying the parameters of a speech signal, reflecting the validity of the transmitted information
(2013)
Linguistic approaches to automatic speech recognition, Vestn
(2016)
Current problems and achievements of systems for paralinguistic speech analysis, Nauchno-Tekh
(2019)
Features of recognition of defective speech using modern systems of automatic speech recognition, NauchnoTekh
A speech markup system for comparative analysis of pronunciation in different dialects
This paper considers the issues of predicative analytics using various methods and algorithms for predicting speech based on statistical data, as well as speech recognition using neural network learning systems. It presents the probabilistic elements of text and speech behavior, which must be taken into account in creating a speech-recognition algorithm and issuing recommendations for speech improvement. A sentence analysis algorithm is proposed to convert a spoken acoustic signal into a string of symbols and words. The principles of operation of modern speech recognition systems are analyzed. A technique is proposed for processing speech phrases using mathematical algorithms with an assessment of signal levels, which makes it possible to determine the degree of influence of individual characteristics of the speech apparatus. An assessment of the severity of abnormal symptoms in subjects with speech impairments has been carried out and a method for quantitative assessment of the size of the deviation of symptoms in these subjects has been proposed.
Automatic Documentation and Mathematical Linguistics – Springer Journals
Published: Apr 30, 2021
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