Raviraj Joshi

Hate and Offensive Speech Detection in Hindi and Marathi

2021 · arXiv (Cornell University)

Sentiment analysis is the most basic NLP task to determine the polarity of text data. There has been a significant amount of work in the area of multilingual text as well. Still hate and offensive …

L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models

2022 · arXiv (Cornell University)

Named Entity Recognition (NER) is a basic NLP task and finds major applications in conversational and search systems. It helps us identify key entities in a sentence used for the downstream application. NER or similar …

Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning

2023 · arXiv (Cornell University)

Text-to-speech (TTS) systems are being built using end-to-end deep learning approaches. However, these systems require huge amounts of training data. We present our approach to built production quality TTS and perform speaker adaptation in extremely …

L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models

2025 · arXiv (Cornell University)

Emotion recognition in low-resource languages like Marathi remains challenging due to limited annotated data. We present L3Cube-MahaEmotions, a high-quality Marathi emotion recognition dataset with 11 fine-grained emotion labels. The training data is synthetically annotated using …