This paper proposes a speech dereverberation method based on the MTF concept. This method can be used without measuring the impulse response of room acoustics. In the model, the power envelopes and carriers are decomposed from a reverberant speech signal using an N -channel filterbank and then are dereverberated in each respective channel. In the envelope dereverberation process, a power envelo...

This paper presents a new method for dereverberation of speech signals with a single microphone. For applications such as speech recognition, reverberant speech causes serious problems when a distant microphone is used in recording. This is especially severe when the reverberation time exceeds 0.5 of a second. We propose a method which uses the fundamental frequency ( ) of target speech as the ...

Modern automatic speech recognition is ineffective at understanding relatively unintelligible speech caused by neuro-motor disabilities collectively called dysarthria. Since dysarthria is primarily an articulatory phenomenon, we are collecting a database of vocal tract measurements during speech of individuals with cerebral palsy. In this paper, we demonstrate that articulatory knowledge can re...

Acoustics in schools have been studied during years, but nowadays there are more possibilities than ever before to introduce improvements. This study presents a systematic literature review determining what acoustic parameters present classrooms and how they affect both teachers students. Following the analysis, we put forward two-block classification: physical of sound or noise classroom conse...

Laughing while speaking, also referred to as speech-laugh, occurs frequently in social conversations. In order to understand how laughter influences the acoustics of its co-occurring speech signal, we take a synthesis approach in designing an interactive system for artificial “laughter modulation”: users input an arbitrary speech signal, and the system processes the signal to yield acoustic pat...

Recovering vocal tract shapes from the speech signal is a well known inversion problem of transformation from the articulatory system to speech acoustics. Most of the studies on this problem in the past have been focused on vowels. There have not been general methods e ective for recovering the vocal tract shapes from the speech signal for all classes of speech sounds. In this paper we describe...

Ultrasonic speech is a novel research area with significant applications: as a speech-aid prosthesis for patients with voice box difficulties, silent speech interfaces, secure mode of communication in mobile phones and as a communication medium in high noise industrial environments. Feature extraction is a critical part of the ultrasonic speech system. Linear prediction analysis (LPA) has been ...

The primary focus of speech production research is directed towards obtaining improved understanding and quantitative characterization of the articulatory dynamics, acoustics, and cognition of both normal and pathological human speech. Such efforts are, however, frequently challenged by the lack of appropriate physical and physiological data. A great deal of attention is, hence, given to the de...

This paper presents a speech segmentation scheme designed to be used in creating voice inventories for speech synthesis. Just the information about phoneme segments in a given speech corpus is not sufficient for speech synthesis, but multi-layers of segments such as breath groups, accent phrases, phonemes, and pitch-marks, are all necessary to reproduce the prosody and acoustics of a given spea...