Corpus ID: 222341658

Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification

@article{Rangan2020ExploitingSA,
  title={Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification},
  author={Pradeep Rangan and S. Teki and Hemant Misra},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.07130}
}

Pradeep Rangan, S. Teki, Hemant Misra

Published 2020

Computer Science, Engineering

ArXiv

Spoken language Identification (LID) systems are needed to identify the language(s) present in a given audio sample, and typically could be the first step in many speech processing related tasks such as automatic speech recognition (ASR). Automatic identification of the languages present in a speech signal is not only scientifically interesting, but also of practical importance in a multilingual country such as India. In many of the Indian cities, when people interact with each other, as many… CONTINUE READING

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