22 citations · 22 across the 7 of their papers we have counts for
8 papers
A Speech Corpus for Mizo Automatic Speech Recognition: Whisper and SraVaani 1.0 Fine-Tuning with Morphology-Aware Evaluation
Priyankoo Sarmah, Sanasam Ranbir Singh, Lalhmingmawia
This study reports the development of an Automatic Speech Recognition (ASR) system in Mizo, a low-resource language. The development included collecting 17.62 hours of speech data,…
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…
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…
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…
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…
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…
AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach
Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah
Part of Speech (POS) tagging is crucial to Natural Language Processing (NLP). It is a well-studied topic in several resource-rich languages. However, the development of computation…
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition
Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah
We present the AsNER, a named entity annotation dataset for low resource Assamese language with a baseline Assamese NER model. The dataset contains about 99k tokens comprised of te…