activity
20222026
most citedAsPOS: Assamese Part of Speech Tagger using Deep Learning Approach

22 citations · 22 across the 7 of their papers we have counts for

collaborators
Showing eess.ASShow all

5 papers · 1 filter

eess.AS2026

Towards Prosodically Informed Mizo TTS without Explicit Tone Markings

Abhijit Mohanta, Remruatpuii, Priyankoo Sarmah +2

This paper reports on the development of a text-to-speech (TTS) system for Mizo, a low-resource tonal language of the Tibeto-Burman family, spoken primarily in the Indian state of…

eess.AS2025

Leveraging AM and FM Rhythm Spectrograms for Dementia Classification and Assessment

Parismita Gogoi, Vishwanath Pratap Singh, Seema Khadirnaikar +6

This study explores the potential of Rhythm Formant Analysis (RFA) to capture long-term temporal modulations in dementia speech. Specifically, we introduce RFA-derived rhythm spect…

eess.AS2025

Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models

Parismita Gogoi, Sishir Kalita, Wendy Lalhminghlui +4

This study explores the use of self-supervised learning (SSL) models for tone recognition in three low-resource languages from North Eastern India: Angami, Ao, and Mizo. We evaluat…

eess.AS2024

Analyzing long-term rhythm variations in Mising and Assamese using frequency domain correlates

Parismita Gogoi, Priyankoo Sarmah, S. R. M. Prasanna

The current work explores long-term speech rhythm variations to classify Mising and Assamese, two low-resourced languages from Assam, Northeast India. We study the temporal informa…

eess.AS2024

Exploring rhythm formant analysis for Indic language classification

Parismita Gogoi, Sishir Kalita, Priyankoo Sarmah +1

This paper reports a preliminary study on quantitative frequency domain rhythm cues for classifying five Indian languages: Bengali, Kannada, Malayalam, Marathi, and Tamil. We emplo…