Mohammad Vali
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    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Recent Publications
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Selected_pubs
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
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Introduction to Speech Processing

Jul 12, 2022·
Tom Bäckström
,
Okko Räsänen
,
Abraham Zewoudie
,
Pablo Pérez Zarazaga
,
Liisa Koivusalo
,
Sneha Das
,
Esteban Gómez Mellado
,
Mariem Bouafif
,
Daniel Ramos
,
Sudarsana Kadiri
,
Paavo Alku
,
Mohammad Hassan Vali
· 0 min read
URL
Last updated on Jul 12, 2022
← Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing Jun 10, 2023
NSVQ: Noise Substitution in Vector Quantization for Machine Learning Jan 28, 2022 →

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