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The aim of this paper is to explore a robust method for vowel region detection from multimode speech. In realistic scenario, speech can be classified into three modes namely; conversation, extempore, and read. The existing method detects the vowel ...

Automatic detection of vowels plays a significant role in the analysis and synthesis of speech signal. Detecting vowels within a speech utterance in noisy environment and varied contexts is a very challenging task. In this work, a robust technique ...

In this paper, a novel technique has been proposed for the vowel region detection from the continuous speech using an envelope of the derivative of the speech signal, which is a non-negative, frequency-weighted energy operator. The proposed vowel region ...

Detecting the vowel regions in a given speech signal has been a challenging area of research for a long time. A number of works have been reported over the years to accurately detect the vowel regions and the corresponding vowel onset points (VOPs) and ...

Vowel onset point (VOP) is the instant of time at which vowel region starts in a speech signal. VOP plays a vital role in different applications of speech processing, such as syllable detection, speaker verification, duration modification, language ...

Speech recognition is the process of understanding the human or natural language speech by a computer. A syllable centric speech recognition system in this aspect identifies the syllable boundaries in the input speech and converts it into the respective ...

An emotion is made of several components such as physiological changes in the body, subjective feelings and expressive behaviors. These changes in speech signal are mainly observed in prosody parameters such as pitch, duration and energy. Hindi language ...

This paper proposes a method for automatic detection of breathy voiced vowels in continuous Gujarati speech. As breathy voice is a specific phonetic feature predominantly present in Gujarati among Indian languages, it can be used for identifying ...

In this paper, a non-uniform time scale modification (TSM) method is proposed for increasing or decreasing speech rate. The proposed method modifies the durations of vowel and pause segments by different modification factors. Vowel segments are modified ...

In this paper, global and local prosodic features extracted from sentence, word and syllables are proposed for speech emotion or affect recognition. In this work, duration, pitch, and energy values are used to represent the prosodic information, for ...

This paper proposes a method for duration (time scale) modification using glottal closure instants (GCI, also known as instants of significant excitation) and vowel onset points (VOP). In general, most of the time scale modification methods attempt to ...

In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic units such as syllables, and it is manifested in terms of changes in ...