Výsledky vyhledávání - "Kato, Akihiro"

Dissertation/ Thesis

Hidden Markov model-based speech enhancement

Autor: Kato, Akihiro

This work proposes a method of model-based speech enhancement that uses a network of HMMs to first decode noisy speech and to then synthesise a set of features that enables a speech production model to reconstruct clean speech. The motivation is to r

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.716442

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Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks

Autor: Kato, Akihiro, Kinnunen, Tomi

The fundamental frequency (F0) represents pitch in speech that determines prosodic characteristics of speech and is needed in various tasks for speech analysis and synthesis. Despite decades of research on this topic, F0 estimation at low signal-to-n

Externí odkaz: http://arxiv.org/abs/1807.00752

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A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech

Autor: Kato, Akihiro, Kinnunen, Tomi

The fundamental frequency (F0) contour of speech is a key aspect to represent speech prosody that finds use in speech and spoken language analysis such as voice conversion and speech synthesis as well as speaker and language identification. This work

Externí odkaz: http://arxiv.org/abs/1805.02958

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