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What is Indian Language Identification via SVD about?
This paper proposes two schemes for identifying Indian regional languages and segmenting multi-language speech using singular value decomposition-based feature embedding. In the first scheme, SVD is applied to an n-gram utterance matrix to capture language context. In the second scheme, SVD is applied to the difference supervector matrix space. Experiments show 55-65% singular value energy sufficiently captures language context. N-gram features with skipgrams perform best for long signals, while supervector
- Author
- App Souls
- Language
- EN