title: ÐÑÐ¾Ð±ÐµÐ½Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÑÐ¸Ð½ÑÐµÐ·Ð° 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: Features of the application of deep learning methods for speech synthesis
Creators: name: Ð¡Ð¸Ð¼Ð¾Ð½ÐµÐ½ÐºÐ¾, Ð£Ð»ÑÑÐ½Ð°
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: 2023
Subjects: ÑÐ¸Ð½ÑÐµÐ· ÑÐµÑÐ¸
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð³ÐµÐ½ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾-ÑÐ¾ÑÑÑÐ·Ð°ÑÐµÐ»ÑÐ½Ð°Ñ ÑÐµÑÑ
ÑÐ²ÑÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° ÑÐµÑÐ¸
Ð¼ÐµÑÑÐ¸ÐºÐ°
Ð¼ÐµÐ»-ÑÐ¿ÐµÐºÑÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð°
Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´Ð¸ÑÐµÐ»ÑÐ½Ð¾ÑÑÑ
speech synthesis
neural network
generative-adjuncial network
convolutional neural network
network architecture
metric
chalk-spectrogram
performance

description: ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â ÑÐ¸Ð½ÑÐµÐ·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ ÑÐµÑÑ. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÑÐ¸Ð½ÑÐµÐ·Ð° ÑÐµÑÐ¸, Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ðµ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½Ð¾Ð¹ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¹ ÑÐ°Ð±Ð¾ÑÑ. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¾ Ð²ÑÐ±ÑÐ°Ð½Ð¾ Ð½ÐµÑÐºÐ¾Ð»ÑÐºÐ¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² Ð¸ Ñ Ð¸Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ Ð¼ÐµÐ»-ÑÐ¿ÐµÐºÑÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÑÐ°Ð· Ð¸ ÑÐ°Ð¼ ÑÐ¸Ð½ÑÐµÐ·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐ¹ ÑÐ°Ð¹Ð», Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Ð¿ÑÐ¾Ð¸ÑÑÐ¾Ð´Ð¸Ð» Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÐºÐ°ÑÐµÑÑÐ²Ð° Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½Ð¾Ð³Ð¾ Ð°ÑÐ´Ð¸Ð¾ÑÐ°Ð¹Ð»Ð°. Ð ÑÐ¾Ð´Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ ÐºÑÐ¸ÑÐµÑÐ¸Ð¸: Mean Opinion Score (MOS), Mel Cepstral Distortion (MCD), Word Error Rate (WER) Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÑ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ¸Ð½ÑÐµÐ·Ð°. ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð´Ð°Ð½Ð½ÑÑ Ð¼ÐµÑÑÐ¸Ðº Ð±ÑÐ»Ð¾ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¾ ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ°Ð±Ð¾ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. Ð ÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð¼ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÑÑÑÑ ÑÐ¸Ð½ÑÐµÐ·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ ÑÐ°Ð¹Ð»Ñ Ð¸ Ð²ÑÐ±Ð¾Ñ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°, Ñ ÐºÐ¾ÑÐ¾ÑÑÐ¼ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð° Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐ°Ñ ÑÐ°Ð±Ð¾ÑÐ°. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ Ð²ÑÐ±ÑÐ°Ð½Ð½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ñ ÑÐµÑÐ¸ÑÑ ÑÑÐ´ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼ Ð² ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð¸ ÐºÐ°ÑÐµÑÑÐ²Ðµ ÑÐ¸Ð½ÑÐµÐ·Ð° ÑÐµÑÐ¸ Ð¿ÑÐ¸ ÑÐ°Ð±Ð¾ÑÐµ Ñ Ð½Ð°Ð²Ð¸Ð³Ð°ÑÐ¾ÑÐ°Ð¼Ð¸, ÑÑÐµÐ´Ð¾Ð¹ Ð´Ð»Ñ ÑÐ»Ð°Ð±Ð¾Ð²Ð¸Ð´ÑÑÐ¸Ñ Ð¸ Ð² ÐºÐ¾ÑÐ¼Ð¸ÑÐµÑÐºÐ¾Ð¹ ÑÐµÑÐ½Ð¸ÐºÐµ. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð¾ÑÐºÑÑÑÑÐµ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÑÑÑ Ð¸ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ñ Ð¿Ð¾Ð¸ÑÐºÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸. ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ ÑÑÐµÐ´ÑÑÐ²Ð° Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ python. ÐÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ðµ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ python.
description: The given work is devoted to the application and analysis of various methods of deep learning for speech synthesis, identifying the most promising technology for further work. As a result of the study, several approaches were chosen and with their help, chalk spectrograms of the generated phrases and the synthesized file itself were obtained, on the basis of which the quality of the resulting audio file was further analyzed. The following criteria were used during the analysis: Mean Opinion Score (MOS), Mel Cepstral Distortion (MCD), Word Error Rate (WER) and synthesis speed. Based on these metrics, a comparison was made of the quality of neural networks. The result of the work are synthesized files and the choice of the most promising approach with which further work is possible. The use of the selected neural network will allow solving a number of problems in the speed and quality of speech synthesis when working with navigators, the environment for the visually impaired and in space technology. Open educational resources and programs for searching and analyzing information were used. python automated development tools were used. Applied python software.