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 …

A novel method of automatic music genre classification based on the fusion of features is
proposed. The features derived from the predominant melodic contour are combined with …

Most Indians are inherently bilingual or multilingual owing to the diverse linguistic culture in
India. As a result, code-switching is quite common in conversational speech. The objective …

This paper provides a new insight into the high resolution property of the negative derivative
of the phase response of a system. Group delay functions have been proposed and applied …

End-to-end (E2E) systems synthesise high-quality speech, but this typically requires a large
amount of data. As E2E synthesis progressed from Tacotron to FastSpeech2, it became …

Lack of punctuation in Indian language text makes the analysis of phrases difficult. In this
paper, inter-pausal units (IPUs) in read sentences are considered as phrases and are …

In this work, we explore the task of musical onset detection in Carnatic music by choosing
five major percussion instruments: the mridangam, ghatam, kanjira, morsing and thavil. We …

Alignment is a key step before learning a map** function between a source and a target
speaker's spectral features in various state-of-the-art parallel data Voice Conversion (VC) …

Automatic detection of phoneme boundaries is an important sub-task in building speech
processing applications, especially text-to-speech synthesis (TTS) systems. The main …

Indian languages are broadly classified as Indo-Aryan or Dravidian. The basic set of phones
is more or less the same, varying mostly in the phonotactics across languages. There has …