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pro vyhledávání: '"Tirusha Mandava"'
Publikováno v:
ASRU
In this paper, phonetic features derived from the joint acoustic model (JAM) of a multilingual end to end automatic speech recognition system are proposed for Indian language identification (LID). These features utilize contextual information learned
Publikováno v:
IC3
Self-attention networks are being popularly employed in sequence classification and sequence summarization tasks. State-of-the-art models use sequential models to capture the high-level information, but these models are sensitive to length of utteran
Autor:
Tirusha Mandava, Anil Kumar Vuppala
Publikováno v:
IC3
India is a multilingual society having more than 1600 languages. Most of these languages are having an overlapping set of phonemes. This makes developing language identification (LID) framework difficult for Indian languages. In this paper, the above