Fonada Kapture V3 Ranks No. 1 in Hindi ASR on Hugging Face
FonadaLabs, the speech AI division of Fonada has secured No. 1 position for Hindi on the Hugging Face Open ASR Leaderboard rank for its Kapture V3 model.
Kapture V3 recorded an average Word Error Rate (WER) of 6.54% on the Hindi benchmark, placing it ahead of the other leading global models. The result reflects Fonada consistent efforts to develop accurate, cost-efficient speech recognition technology for Indian languages and conversational applications. The achievement is noteworthy in a global AI ecosystem where technology companies such as OpenAI, Google, Microsoft, NVIDIA and IBM are advancing speech and language AI capabilities.
Automatic Speech Recognition (ASR) technology converts spoken language into text and is increasingly being used in customer service, contact centers, transcription, and enterprise automation.
Alongside recognition accuracy, Fonada is focusing on making speech AI accessible and economical for developers and businesses. Kapture V3’s inference cost is approximately ₹0.10 per minute of audio,...
Copyright of this story solely belongs to www.itvoice.in. To see the full text click HERE
