Joint MFCC-and-vector quantization based text-independent speaker recognition system

No abstract is available for this paper.

• Publication year

  2017

• Venue

  2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE)

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICCCCEE.2017.7867612
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Front-End Factor Analysis For Speaker Verification

  2018cited by this paper
• Application Of Different Filters In Mel Frequency Cepstral Coefficients Feature Extraction And Fuzzy Vector Quantization Approach In Speaker Recognition

  2013cited by this paper
• Fundamentals of Speaker Recognition

  2011influential reference
• Automatic, Text-Independent, Speaker Identification and Verification System Using Mel Cepstrum and GMM

  2008influential reference
• An efficient MFCC extraction method in speech recognition

  2006influential reference
• ASR on speech reconstructed from short-time fourier phase spectra

  2004cited by this paper
• JANUS 93: towards spontaneous speech translation

  1994influential reference
• Towards Spontaneous Speech Translation

  1994cited by this paper
• An Algorithm for Vector Quantizer Design

  1980cited by this paper

• Automatic Speech Recognition Features Extraction Techniques: A Multi-criteria Comparison

  2021cites this paper
• Yi Language Speech Recognition using Deep Learning Methods

  2020cites this paper
• Donggan speech recognition based on deep neural network

  2019cites this paper
• Donggan Speech Recognition Based on Convolution Neural Networks

  2019cites this paper
• Text-Independent Speaker Recognition in Clean and Noisy Backgrounds Using Modified VQ-LBG Algorithm

  2018cites this paper
• Blind Source Separation and Identification for Speech Signals

  2017cites this paper
• Multi-speaker Recognition in Cocktail Party Problem

  2017cites this paper
• Review of various stages in speaker recognition system, performance measures and recognition toolkits

  2017cites this paper