Neural network classifiers for language identification using phonotactic and prosodic features
In this paper, we explore phonotactic and prosodic features derived from the speech signal
and its transcription for identification of a language. The characteristics of languages …
and its transcription for identification of a language. The characteristics of languages …
Investigation on LP-residual representations for speaker identification
Feature extraction is an essential and important step for speaker recognition systems. In this
paper, we propose to improve these systems by exploiting both conventional features such …
paper, we propose to improve these systems by exploiting both conventional features such …
Language identification in noisy environments using throat microphone signals
Automatic identification of a language in a noisy environment is a challenging task.
Performance of a language identification system depends on the quality of the input speech …
Performance of a language identification system depends on the quality of the input speech …
Improved epoch based prosody modification by zero frequency filtering of gabor filtered telephonic speech
MR Rajeswari, D Govind… - 2023 National …, 2023 - ieeexplore.ieee.org
Prosodic features are supra-segmental features which span over longer segments in speech
signals. Modification of prosodic parameters is essential for some of the applications such as …
signals. Modification of prosodic parameters is essential for some of the applications such as …
Durational and Formantshift characteristics of Telugu alveolar and bilabial nasal phonemes
VKR Maddela, B Peri - 2021 IEEE Mysore Sub Section …, 2021 - ieeexplore.ieee.org
The phonetic-acoustic characteristics of phonemes of a stress-timed language like English
and those of syllable-timed Indian languages, are significantly different. Even within the …
and those of syllable-timed Indian languages, are significantly different. Even within the …
Non-linear speech feature extraction for phoneme classification and speaker recognition
In this paper we propose a new feature extraction algorithm based on non-linear prediction:
the Neural Predictive Coding (NPC) model which is an extension of the classical LPC one …
the Neural Predictive Coding (NPC) model which is an extension of the classical LPC one …
PNCC for forensic automatic speaker recognition
B Kurian, VR Sreehari, L Mary - AIP Conference Proceedings, 2020 - pubs.aip.org
Forensic Automatic Speaker Recognition (FASR) is a process for making judgments on
whether a particular speech utterance belongs to a suspected speaker. This is a challenging …
whether a particular speech utterance belongs to a suspected speaker. This is a challenging …
Robust speaker recognition in noisy environments: Using dynamics of speaker-specific prosody
In this chapter, we propose speaker-specific prosodic features for improving the
performance of speaker recognition in noisy environments. This approach can be especially …
performance of speaker recognition in noisy environments. This approach can be especially …
Application of combining classifiers for text-independent speaker identification
SZ Boujelbene, DBA Mezghani… - 2009 16th IEEE …, 2009 - ieeexplore.ieee.org
Speaker recognition systems usually need a feature extraction stage witch aims at obtaining
the best signal representation. States of the art, speaker identification systems are based on …
the best signal representation. States of the art, speaker identification systems are based on …
Realization of Telugu r-phoneme in intervocalic position: an acoustic study
VKR Maddela, B Peri - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
The acoustic characteristics of the phonetic instantiations of a phoneme of a language play a
key role in language specific applications such as language identification, speech …
key role in language specific applications such as language identification, speech …