Kannada
PulseAugur coverage of Kannada — every cluster mentioning Kannada across labs, papers, and developer communities, ranked by signal.
-
Srijika system generates OpenType fonts for nine Indic scripts
Researchers have developed Srijika, a novel system designed to create installable OpenType fonts for nine Indic scripts, including Devanagari, Tamil, and Bengali. Instead of generating fonts from scratch, Srijika restyl…
-
AI models struggle with Tulu legal text due to script and RAG conflicts
A new arXiv paper explores cross-lingual transfer learning for low-resource languages, specifically focusing on Tulu legal comprehension. Researchers tested models like Llama 3, Hex-1, and Sarvam, finding that script-de…
-
Sanskrit TTS system Vāgdhenu converts meter-aware shlokas to chants
Researchers have developed Vāgdhenu, a novel text-to-speech system designed to convert Sanskrit shlokas into high-fidelity chanted recitations. The system utilizes an existing TTS backbone and neural vocoder, enhanced w…
-
Hybrid RRF retrieval fixes RAG failures on Kannada literature
A developer detailed the challenges of building a Retrieval-Augmented Generation (RAG) system for a scanned Kannada novel, highlighting that retrieval, not the language model, was the primary bottleneck. The initial app…
-
Monolingual models outperform multilingual on Dravidian languages
Researchers have developed and evaluated five GPT-2 architecture models to assess the performance of multilingual language models on Dravidian languages. Four of these models were trained monolingually for Tamil, Telugu…
-
New dataset teaches LLMs Indian Knowledge Systems across 7 languages
Researchers have developed IKS-Instruct, a new multilingual dataset designed to teach large language models about Indian Knowledge Systems (IKS). The dataset contains over 24,000 instruction-response pairs in seven lang…
-
New technique SamaVaani audits and debiases clinical ASR for Indian languages
A new research paper introduces SamaVaani, a method for auditing and debiasing multilingual clinical Automatic Speech Recognition (ASR) systems for Indian languages. The study evaluated eight state-of-the-art ASR models…
-
YouTube to flag AI content; AI translation and security issues emerge
YouTube has announced it will begin flagging AI-generated content to inform viewers. Separately, AI is being used to assist in the translation of Kannada text, and FastAPI-based AI tools have been found to have authenti…
-
New ASR Error Analysis Tool Breaks Script Barriers
Researchers have developed a new automated alignment mechanism designed to improve the analysis of Automatic Speech Recognition (ASR) errors, particularly for languages that do not use the Latin script. This method is l…
-
Gemma 3 fine-tuned for Kannada language model
An individual has fine-tuned Google's Gemma 3 model to create a 4-billion parameter language model specifically for the Kannada language. This effort aims to bridge the gap in large language model capabilities for India…
-
SCRIBE framework improves ASR for Indic languages with new error analysis
Researchers have introduced SCRIBE, a new diagnostic framework designed to improve automatic speech recognition (ASR) for Indic languages. Unlike traditional metrics like Word Error Rate (WER), SCRIBE categorizes errors…