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Hidden Markov Models for artificial voice production and accent modification
(2016)
In this paper, we consider the problem of accent modification between Castilian Spanish and Mexican Spanish. This is an interesting application area for tasks such as the automatic dubbing of pictures and videos with ...
LSTM deep neural networks postfiltering for enhancing synthetic voices
(2018)
Recent developments in speech synthesis have produced systems capable of producing speech which closely resembles natural speech, and researchers now strive to create models that more accurately mimic human voices. One ...
LSTM deep neural networks postfiltering for improving the quality of synthetic voices
(2016)
Recent developments in speech synthesis have produced systems capable of providing intelligible speech, and researchers now strive to create models that more accurately mimic human voices. One such development is the ...
Improving automatic speech recognition containing additive noise using deep denoising autoencoders of lstm networks
(2016)
Automatic speech recognition systems (ASR) suffer from performance degradation under noisy conditions. Recent work, using deep neural networks to denoise spectral input features for robust ASR, have proved to be successful. ...
Producción artificial de habla: Síntesis de voz
(2015)
A finales de la década de los 80, el estadounidense Raymond Kurzweil, inventor del primer sistema comercial que es capaz de tomar texto de un libro y pronunciarlo mediante habla artificial, escribió la obra “La era de las ...
Speech synthesis based on Hidden Markov Models and deep learning
(2016)
Speech synthesis based on Hidden Markov Models (HMM)
and other statistical parametric techniques have been a hot topic for
some time. Using this techniques, speech synthesizers are able to produce
intelligible and ...
HMM-Based Speech Synthesis Enhancement with Hybrid Postfilters
(2018)
In this chapter, we introduce hybrid postfilters into speech synthesis,
with the objective of enhancing the quality of the synthesized speech.
Our approach combines a Wiener filter with deep neural networks. Several ...
Hybrid speech enhancement with wiener filters and deep LSTM denoising autoencoders
(2018)
Over the past several decades, numerous speech enhancement techniques have been proposed to improve the performance of modern communication devices in noisy environments. Among them, there is a large range of classical ...