Searched for: subject%3A%22Speech%255C%252BEnhancement%22
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Prananta, Luke (author)
master thesis 2021
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Sathyapriyan, V. (author)
For people with hearing impairment, it is important to have good speech intelligibility, while also being able to localise the sound sources. Many beam-forming algorithms for hearing aids have been proposed, that minimise the noise, in combination with spatial scene preservation of the target and the interferers. By constraining the spatial cues...
master thesis 2020
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Kapadia, Husain (author)
Listening in noise is a challenging problem that affects the hearing capability of not only normal hearing but especially hearing impaired people. Since the last four decades, enhancing the quality and intelligibility of noise corrupted speech by reducing the effect of noise has been addressed using statistical signal processing techniques as...
master thesis 2019
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Sachos, Kostas (author)
Human interaction with a smart speaker involves often distant automatic speech recognition (ASR). However, ASR is a rather cumbersome task at significantly high levels of noise. Most of commercial smart speakers in order to achieve high ASR accuracy they tend to reduce the playback signal once the preset keyword is detected. In an effort to...
master thesis 2018
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Stasinopoulos, V. (author)
Boosting the performance of a conventional speech enhancement system by applying post-processing restoration modules. The speech production process is modeled with linear prediction analysis (LPA). This yields to a two step problem: enhancement of the spectral envelope obtained after conducting LPA to the output signal of a conventional speech...
master thesis 2009
Searched for: subject%3A%22Speech%255C%252BEnhancement%22
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