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Normalization of the Input Signal During Speech Signal Preprocessing A.A. Rakhmanov
International Journal on Orange Technologies Vol. 4 No. 8 (2022): IJOT
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

It is important to pre-process and normalize a voice signal before recognizing and processing it. Since there are a variety of variables that might affect the sound signal's amplitude when recording speech, including the speaker's voice volume, proximity to the microphone, type of recording equipment, etc. In this post, we'll look at the input signal normalization technique and its first processing in preparation for building a model and an algorithm for identifying audio signals.
Open-Source Speech Corpus and Initial Speech Recognition Experiments A.A. Rakhmanov
International Journal of Human Computing Studies Vol. 4 No. 8 (2022): IJHCS
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v4i8.3578

Abstract

We present a speech corpus and report preliminary results of automatic speech recognition (ASR) using a hidden deep neural network Markov model (DNNHMM) and an end-to-end (E2E) architecture.