Hindi
PulseAugur coverage of Hindi — every cluster mentioning Hindi across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New benchmark and training method boost Indic language speech recognition
Researchers have introduced Vividh-ASR, a new benchmark designed to evaluate and improve automatic speech recognition (ASR) for Indic languages like Hindi and Malayalam. This benchmark addresses the 'studio-bias' phenom…
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LLMs improve multilingual speech correction by tuning for fluency
Researchers have developed a new method for correcting disfluencies in multilingual speech transcripts using large language models (LLMs). The pipeline first identifies disfluent tokens and then uses these signals to fi…
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LLMs show unreliable calibration in multilingual clinical diagnosis, study finds
A new research paper explores the reliability of large language models (LLMs) for multilingual orthopedic diagnosis, particularly in low-resource settings. The study found that while LLMs demonstrate strong linguistic c…
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Selective Augmentation boosts phonetic transcription accuracy with G2P bootstrapping
Researchers have developed a new method called Selective Augmentation to improve automatic phonetic transcription (APT) by leveraging data from different languages. This bootstrapping approach enhances existing training…
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Google Translate adds AI pronunciation practice for its 20th anniversary
Google Translate is celebrating its 20th anniversary by introducing an AI-powered pronunciation practice feature. This new tool, available on Android in the U.S. and India, analyzes users' speech and provides instant fe…
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New benchmark evaluates Indic TTS accent fidelity across six dimensions
Researchers have introduced PSP, a new benchmark designed to evaluate the accent accuracy of text-to-speech (TTS) systems for Indic languages. Unlike existing metrics that focus on intelligibility and naturalness, PSP s…
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LLM gender bias amplified by personality traits in English and Hindi stories
A new study investigated how personality traits influence gender bias in Large Language Models (LLMs) when they adopt specific personas. Researchers generated over 23,000 stories in English and Hindi, varying persona ge…
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XITE technique boosts cross-lingual transfer for language models up to 81%
Researchers have introduced XITE, a novel data augmentation technique designed to improve cross-lingual transfer in multilingual language models. This method leverages embedding similarities to identify and adapt labels…
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Prompted weak supervision boosts meme hate speech detection across languages
Researchers have developed a prompted weak supervision (PWS) method to improve hate speech detection in memes, addressing the challenges posed by their multimodal nature and subtle cultural cues. This approach breaks do…