An empirical study of Conv-TasNet

An empirical study of Conv-TasNet

20 February 2020

Berkan Kadıoğlu

Xiaoyu Liu

Papers citing "An empirical study of Conv-TasNet"

8 / 8 papers shown

Title
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu Kai Li Guo Chen Xiaolin Hu 51 0 0 02 Oct 2024
A 1.6-mW Sparse Deep Learning Accelerator for Speech Separation Chih-Chyau Yang Tian-Sheuan Chang 31 0 0 15 Dec 2023
Multi-Scale Feature Fusion Transformer Network for End-to-End Single Channel Speech Separation Yinhao Xu Jian Zhou L. Tao H. Kwan 30 0 0 14 Dec 2022
Adversarial Permutation Invariant Training for Universal Sound Separation Emilian Postolache Jordi Pons Santiago Pascual Joan Serrà VLM 28 6 0 21 Oct 2022
Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech Rohit Paturi S. Srinivasan Katrin Kirchhoff Daniel Garcia-Romero 17 9 0 10 Dec 2021
PERSA+: A Deep Learning Front-End for Context-Agnostic Audio Classification Lazaros Vrysis Iordanis Thoidis Charalampos A. Dimoulas G. Papanikolaou VLM 36 0 0 20 Jul 2021
Multichannel-based learning for audio object extraction Daniel Arteaga Jordi Pons DiffM 13 3 0 11 Feb 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 589 0 08 Jun 2018