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Identification of Speech Activity in Noisy Speech Signal
Pelikán, Martin ; Sysel, Petr (referee) ; Smékal, Zdeněk (advisor)
This paper is focused on identification of pauses in noisy speech signal and following filtering of the noise from the signal. Firstly the signal processing methods are theoretically described, then voice activity detectors and in the end noise filtering methods are described. Several voice activity detectors were created and their pause detection rate was compared.
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Identification of pauses in noisy speech signal
Kepák, Petr ; Míča, Ivan (referee) ; Smékal, Zdeněk (advisor)
The basic problem of speech is a complete separation of the natural noise which arise from correct articulation of voiced and unvoiced consonants from noise and disturbance environment. Objective of this master’s thesis is to find an effective method that could identify the pauses without speech activity, which can identify the properties of noise and disturbance. Once the noise is correctly identified, it is already possible to use different methods for its removal. The master’s thesis describes two methods of pauses identification. These methods are programmed in Matlab and tested on nine speech recordings. Methods analysis of the results was performed using the ROC (Receiver Operating Characteristic) curves. In the end are summarized results analysis of created methods.
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The use of pause in simultaneous interpreting
Samková, Monika ; Čeňková, Ivana (advisor) ; Sládková, Miroslava (referee)
The purpose of the present thesis is to shed light on the role of pauses in simultaneous interpreting between French and Czech, mainly from the point of view of the listeners of the source speeches in French as well as both students of interpretation and professional interpreters and from the viewpoint of the listeners of the speeches interpreted into Czech. It is divided into a theoretical and an empirical part. The theoretical part briefly outlines the process of simultaneous interpreting and Daniel Gile's Effort Model and then it focuses on prosody and individual prosodic (suprasegmental) features, especially pauses and their use in simultaneous interpreting. The empirical part describes the experiment and presents its results. The experiment itself examines the effect that unnaturally long or unnaturally placed pauses in the speaker's quasi-authentic source speeches have on the choice of strategy and the simultaneous interpreters' performances (students and professionnals) and on the subsequent assessment of their performances made by the listeners of the interpreted speeches. Keywords simultaneous interpreting, pause, listener, speech, speaker, interpreter, comprehensibility
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Identification of Speech Activity in Noisy Speech Signal
Pelikán, Martin ; Sysel, Petr (referee) ; Smékal, Zdeněk (advisor)
This paper is focused on identification of pauses in noisy speech signal and following filtering of the noise from the signal. Firstly the signal processing methods are theoretically described, then voice activity detectors and in the end noise filtering methods are described. Several voice activity detectors were created and their pause detection rate was compared.
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|
|
Identification of pauses in noisy speech signal
Kepák, Petr ; Míča, Ivan (referee) ; Smékal, Zdeněk (advisor)
The basic problem of speech is a complete separation of the natural noise which arise from correct articulation of voiced and unvoiced consonants from noise and disturbance environment. Objective of this master’s thesis is to find an effective method that could identify the pauses without speech activity, which can identify the properties of noise and disturbance. Once the noise is correctly identified, it is already possible to use different methods for its removal. The master’s thesis describes two methods of pauses identification. These methods are programmed in Matlab and tested on nine speech recordings. Methods analysis of the results was performed using the ROC (Receiver Operating Characteristic) curves. In the end are summarized results analysis of created methods.
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