Spectrum estimation of speech: coding and feature extraction applications
that involve
coding and deep learning. The paper reviews the main
speech spectral estimation
Neural net as pseudo-inverse filter in speech coding problem. The analysis made with the help of a deep neural network. The results of the study are applied to
speech coding An efficient speech generative model based on deterministic/stochastic separation of spectral envelopesTaha, M.,
Azarov, E. S.,
Likhachov, D. S.,
Petrovsky, A. A.,
Таха, М.,
Азаров, И. С.,
Лихачев, Д. С.,
Петровский, А. А. The paper presents a
speech generative model that provides an efficient way of generating
speech PSYCHOSOCIOLINGUISTIC APPROACH TO CODE SWITCHING BY BILINGUALSLinguists have recently started to explore
code switching as a separate aspect. It can be more
Audio/Speech Coding Based on the Perceptual Sparse Representation of the Signal with DAE Neural Network Quantizer and Near-End Listening EnhancementHerasimovich, V.,
Petrovsky, Al. A.,
Avramov, V. V.,
Petrovsky, A.,
Герасимович, В. Ю.,
Петровский, Ал. А.,
Аврамов, В. В.,
Петровский, А. А. The article presents universal sound
coding framework. The encoding algorithm works at the junction
N.I. Zhinkin: from Phenomenology towards Philosophy of Language languages”, “Interrogation and interrogative sentence”, “On
code transitions in internal
speech Sound Signal Invariant DAE Neural Network-Based Quantizer Architecture of Audio/Speech Coder Using the Matching Pursuit AlgorithmAvramov, V. V.,
Herasimovich, V.,
Petrovsky, A. A.,
Аврамов, В. В.,
Герасимович, В. Ю.,
Петровский, А. А. framework. This research is considered in the context of the scalable real-time audio/
speech coder based
PSYCHOSOCIOLINGUISTIC APPROACH TO STUDYING THE PROCESS CODE SWITCHING IN BILINGVAL ENVIRONMENTLinguists have recently started to explore
code switching as a separate aspect. It can be more