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Mostrando ítems 31-39 de 39
Minería de Datos: Concepto y Aplicaciones
(2014)
Se presenta la minería de datos como un conjunto de técnicas para obtener información útil y no evidente en datos de diversos tipos. Primero se revisa el concepto y su evolución, para repasar varias de las aplicaciones ...
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 ...
Enhancing speech recorded from a wearable sensor using a collection of autoencoders
(2020)
Assistive Technology (AT) is a concept which includes the use of technological devices to improve the learning process or the general capabilities of people with disabilities. One of the major tasks of the AT is the ...
Identification of Costa Rican speaker’s age group based on acoustic vowel analysis
(2022-04-22)
The identification of the speaker’s age is a fundamental task in human-computer interaction. In particular, the recognition of children has drawn attention from the research community due to the vulnerability of se persons ...
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. ...
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 ...
Measuring the effect of reverberation on statistical parametric speech synthesis
(2020)
Text-to-speech (TTS) synthesis is the technique of generating intelligible speech from a given text. The most recent techniques for TTS are based on machine learning, implementing systems which learn linguistic specifications ...
Measuring the Quality of Low-Resourced Statistical Parametric Speech Synthesis Trained with Noise-Degraded Data Supported by the University of Costa Rica
(2022)
After the successful implementation of speech synthesis in several languages, the study of robustness became an important topic so as to increase the possibility of building voices from non-standard sources, e.g. historical ...