Today, a large number of audio features exists in audio retrieval for different purposes, such
as automatic speech recognition, music information retrieval, audio segmentation, and …

Most natural form of human communication depends on speech. In order to understand
human speech by enabling machines, computers can act as an intermediate for human …

Bird call recognition using deep neural network-hidden Markov model (DNN-HMM)-based
transcription is proposed. The work is an attempt to adapt the human speech recognition …

Building speech synthesis systems for Indian languages is challenging owing to the fact that
digital resources for these languages are hardly available. Vocabulary independent speech …

The most popular method for automatic segmentation is embedded reestimation of
monophone HMMs after flat start initialization, followed by forced alignment. This method …

This paper presents a novel technique for building a syllable based continuous speech
recognizer when unannotated transcribed train data is available. We present two different …

In this paper, a novel approach has been proposed for the automatic segmentation of
speech signal into phonemes. In a well spoken word, phonemes can be characterized by …

In this work we describe a new “syllable-like” speech unit that is suitable for concatenative
speech synthesis. These units are automatically generated using a group delay based …

This paper describes the design and development of Indian language Text-To-Speech (TTS)
synthesis systems, using polysyllabic units. Firstly, a phone based TTS is built. Later, a …

Vowel detection methods usually adopt a two-stage procedure for detecting vowel
landmarks. First, a temporal objective contour (TOC), as a time-varying measure of vowel …