Deep neural network based place and manner of articulation detection and classification for bengali continuous speech
T Bhowmik, A Chowdhury, SKD Mandal - Procedia Computer Science, 2018 - Elsevier
The phonological features are the most basic unit of a speech knowledge hierarchy. This
paper reports about detection and classification of phonological features from Bengali …
paper reports about detection and classification of phonological features from Bengali …
Harmonizing Voices: Enhancing Speech Recognition Through Integrated Phonological Features in Bengali
T Bhowmik, A Choudhury - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
This study reveals a novel avenue for advancing speech recognition accuracy by integrating
phonological features. Despite remarkable progress, speech recognition systems encounter …
phonological features. Despite remarkable progress, speech recognition systems encounter …
Elevating Bengali Speech Recognition with Phonological Harmony
T Bhowmik, A Choudhury - 2023 2nd International Conference …, 2023 - ieeexplore.ieee.org
This paper introduces a novel avenue for advancing speech recognition accuracy by
integrating phonological features. Despite remarkable progress, speech recognition systems …
integrating phonological features. Despite remarkable progress, speech recognition systems …
Review on Silent Speech Recognition Using EMG Sensors and Voices After Laryngectomy
In this paper, there are four ways of speech rehabilitation techniques after laryngectomy.
They are voice prosthesis, esophageal voice, electronic larynx, and silent articulation. After …
They are voice prosthesis, esophageal voice, electronic larynx, and silent articulation. After …
Intra-Speaker Variability Assessment for Speaker Recognition in Degraded Conditions: A Case of African Tone Languages
An extensive study on intra-speaker variability is presented in this chapter. The chapter is
organized as follows: Section 2.1 gives a succinct background on speaker recognition and …
organized as follows: Section 2.1 gives a succinct background on speaker recognition and …