ICASSP 2020

preview_player
Показать описание
Brij Mohan Lal Srivastava from Inria has made a video representing privacy protection against informed attackers (ICASSP 2020 paper). Check it out:
  1. Comprise H2020
  2. privacy
  3. voicefirst
  4. voice
  5. INRIA
  6. voice assistant
Рекомендации по теме
[ICASSP 2020] The

[ICASSP 2020] The Computational Sensing Revolution in Array Processing

[ICASSP 2020] WHAMR!:

[ICASSP 2020] WHAMR!: Noisy and Reverberant Single-Channel Speech Separation

[ICASSP 2020] Learning

[ICASSP 2020] Learning Plug-and-Play Proximal Quasi-Newton Denoisers

[ICASSP 2020] Blind

[ICASSP 2020] Blind Multi-Spectral Image Pan-Sharpening

[ICASSP 2020]Unsupervised Speaker

[ICASSP 2020]Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory for End-To-End ASR

[ICASSP 2020] Damage-sensitive

[ICASSP 2020] Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-base...

ICASSP 2020 -

ICASSP 2020 - Auto Identification of Speakers using Head Gestures in a Narration

[ICASSP 2020] WHAT

[ICASSP 2020] WHAT DOES A NETWORK LAYER HEAR? (Speaker: Chung-Yi Li)

[ICASSP 2020] A

[ICASSP 2020] A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet - Ditter, Gerkmann

[ICASSP 2020] ONE-SHOT

[ICASSP 2020] ONE-SHOT VOICE CONVERSION BY VECTOR QUANTIZATION (Speaker: Da-Yi Wu)

ICASSP 2020

ICASSP 2020

[ICASSP 2020] Robust

[ICASSP 2020] Robust Parameter Estimation oOf Contaminated Damped Exponentials

[ICASSP 2020] Nonlinear

[ICASSP 2020] Nonlinear Spatial Filtering for Multichannel Speech Enhancement ... - Tesch, Gerkmann

[ICASSP 2020] Streaming

[ICASSP 2020] Streaming Automatic Speech Recognition with the Transformer Model

The empirical duality

The empirical duality gap of constrained statistical learning (ICASSP 2020)

ICASSP 2020 presentation

ICASSP 2020 presentation

[ICASSP 2020] MOCKINGJAY:

[ICASSP 2020] MOCKINGJAY: UNSUPERVISED SPEECH REPRESENTATION LEARNING (Speaker: Andy T. Liu)

Differentiable branching in

Differentiable branching in deep networks for fast inference (ICASSP 2020)

Robust Full-FoV Depth

Robust Full-FoV Depth Estimation in Tele-wide Camera System, ICASSP 2020

Two-Step Sound Source

Two-Step Sound Source Separation: Training on Learned Latent Targets (ICASSP 2020 presentation)

[ICASSP 2020] Defending

[ICASSP 2020] Defending Graph Convolutional Networks from Adversarial Attacks

Improving Universal Sound

Improving Universal Sound Separation Using Sound Classification (ICASSP 2020 video presentation)

ICASSP 2020 -

ICASSP 2020 - Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer

[ICASSP 2020] BLASTER:

[ICASSP 2020] BLASTER: An off-grid method for blind and regularized acoustic echoes retrieval

join shbcf.ru