A Bit-Stream-Based Modified MELP Vocoder Using Autoencoder

Hannah Lee, Deokgyu Yun, Seung Ho Choi

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a bit-stream-based modified MELP vocoder using autoencoder. This technique trains an autoencoder using the bit-streams extracted from the encoder of an existing vocoder, and the trained autoencoder is divided into an encoder and a decoder model of the modified vocoder. In addition, the bottleneck features of the autoencoder are scalar quantized and transmitted as bit-streams. Through objective speech intelligibility evaluation experiments, we show that the performance of the proposed method is similar to the existing vocoder.

Original languageEnglish
Pages (from-to)798-800
Number of pages3
JournalJournal of Korean Institute of Communications and Information Sciences
Volume45
Issue number5
DOIs
StatePublished - May 2020

Keywords

  • Autoencoder
  • Bit-stream
  • Bottleneck feature
  • MELP
  • Modified vocoder

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