Semiautomatic analysis of digital speech collections is transforming the science of
phonetics. Convenient search and analysis of large published bodies of recordings …

Large-scale, weakly-supervised speech recognition models, such as Whisper, have
demonstrated impressive results on speech recognition across domains and languages …

Automated segmentation of speech signals has been under research for over 30 years.
Many speech processing systems require segmentation of Speech waveform into principal …

We present a Conformer-based end-to-end neural diarization (EEND) model that uses both
acoustic input and features derived from an automatic speech recognition (ASR) model. Two …

In this paper we investigate the automatic detection of phoneme boundaries in audio
recordings with the help of deep bidirectional LSTMs. This work is motivated by the needs of …

Phoneme mispronunciation detection plays an important role in Computer-Assisted
Pronunciation Training. Traditional methods either rely on phone recognition, which has the …

In this article, we analyse the performance of the TIMIT-based phone recognition systems
beyond the overall phone error rate (PER) metric. We consider three broad phonetic classes …

To retrieve voice information in a fast and accurate manner over encrypted speech, this
study proposes a retrieval algorithm based on syllable-level perceptual hashing. It …

Given an orthographic transcription, forced alignment systems automatically determine
boundaries between segments in speech, facilitating the use of large corpora. In the present …

This research illustrates phone occurrence analysis for an automatic speech recognition
(ASR) model of 'Adi.''Adi'is a low-resourced endangered tribal language of Arunachal …