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While the problem of estimating the amplitudes of sinusoidal components in signals, given an estimation of their frequencies, is linear and tractable, it is biased due to the unavoidable, in practice, errors in the estimation of frequencies. These errors are of great concern for processing signals with many sinusoidal like components as is the case of speech and audio. In this letter, we suggest using...
The speech signal is usually considered as stationary during short analysis time intervals. Though this assumption may be sufficient in some applications, it is not valid for high-resolution speech analysis and in applications such as speech transformation and objective voice function assessment for detection of voice disorders. In speech, there are non stationary components, for instance time-varying...
Harmonic + noise model (HNM) is a hybrid model of speech with a harmonic component and a noise component. While the harmonic part describes efficiently the periodicities in speech signals (voiced parts), modeling of the noise part introduces artifacts primarily because of the specific time-domain characteristics of noise in voiced speech. In this paper, we concentrated on the modeling of noise in...
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