In this paper, use of Viterbi-based algorithm and spectral transition measure (STM)-based
algorithm for the task of speech data labeling is being attempted. In the STM framework, we …

Language analysis is very important for the native speaker to connect with the digital world.
Assamese is a relatively unexplored language. In this report, we analyze different aspects of …

There have been growing interest to use speech technology for rural areas. In this context,
this paper describes the development of speech corpora in Indian languages (viz., Gujarati …

This paper discusses development of resources using linguistics and signal processing
aspects for two low resource Indian languages, viz., Gujarati and Marathi. Speech resource …

Acoustic phonetic approach is being used by researchers to understand phonetic rules and
employ these rules in speech recognition systems. Apart from developing new feature sets …

Phonetic segmentation plays a key role in developing various speech applications. In this
work, we propose to use various features for automatic phonetic segmentation task for …

This study aimed to investigate the effect of phonetic transcription of TV news on Iranian
intermediate EFL learners' pronunciation accuracy at the word level. The question of this …

Text-to-speech (TTS) synthesis systems are being advanced to achieve naturalness and
intelligibility in synthetic speech. Unit selection-based synthesis (USS) and Hidden Markov …

Exact pronunciation of words of a language is not found from the written form of the
language. Phonetic transcription is a step towards the speech processing of a language. For …

The generalized statistical framework of Hidden Markov Model (HMM) has been
successfully applied from the field of speech recognition to speech synthesis. In this paper …