Geodesic
Suitability of speech files for automatic speech recognition systems after noise reduction procedures
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 157 (2015) no. 4, pp. 49-55

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The results of the experiments on noise reduction in speech files with further transfer in the Google automatic speech recognition (ASR) system are presented. An original method is developed to identify the intervals containing only noise. It is shown that using a modified Wiener filter in the time domain allows to improve the recognition quality of noisy files.
Keywords: speech file, noise reduction, speech recognition, Wiener filter.
Mots-clés : Google 
@article{UZKU_2015_157_4_a3,
     author = {R. Kh. Latypov and E. L. Stolov},
     title = {Suitability of speech files for automatic speech recognition systems after noise reduction procedures},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
     pages = {49--55},
     publisher = {mathdoc},
     volume = {157},
     number = {4},
     year = {2015},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/UZKU_2015_157_4_a3/}
}
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R. Kh. Latypov; E. L. Stolov. Suitability of speech files for automatic speech recognition systems after noise reduction procedures. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, Tome 157 (2015) no. 4, pp. 49-55. http://geodesic.mathdoc.fr/item/UZKU_2015_157_4_a3/