Linear autoregressive modeling of unvoiced speech

Sinusoidal modeling and modification of unvoiced speech

Sinusoidal Modeling and Modiication of Unvoiced Speech (paper Sa-386)

Although sinusoidal models have been shown to be useful for timescale and pitch modiication of voiced speech, objectionable artifacts often arise when such models are applied to unvoiced speech. This correspondence presents a sinusoidal model-based speech modiication algorithm that preserves the natural character of unvoiced speech sounds after pitch and timescale modiication, eliminating commo...

Autoregressive modelling for linear prediction of ultrasonic speech

Ultrasonic speech is a novel technology which implies exciting human vocal tract (VT) with an ultrasonic signal to provide a speech mode in the ultrasonic frequency range. This has several applications including speech-aid prostheses for voice-loss patients, silent speech interfaces, secure mode of communication in mobile phones and speech therapy. Linear prediction has recently been proven to ...

Statistical analysis of the autoregressive modeling of reverberant speech.

Hands-free speech input is required in many modern telecommunication applications that employ autoregressive (AR) techniques such as linear predictive coding. When the hands-free input is obtained in enclosed reverberant spaces such as typical office rooms, the speech signal is distorted by the room transfer function. This paper utilizes theoretical results from statistical room acoustics to an...

Segregation of unvoiced speech from nonspeech interference.

Monaural speech segregation has proven to be extremely challenging. While efforts in computational auditory scene analysis have led to considerable progress in voiced speech segregation, little attention has been given to unvoiced speech, which lacks harmonic structure and has weaker energy, hence more susceptible to interference. This study proposes a new approach to the problem of segregating...