Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech

9 May 2019

Papers citing "Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech"

9 / 9 papers shown

Title
A Survey on Spoken Italian Datasets and Corpora Marco Giordano Claudia Rinaldi 46 0 0 11 Jan 2025
Mixture Encoder for Joint Speech Separation and Recognition Simon Berger Peter Vieting Christoph Boeddeker Ralf Schluter Reinhold Häb-Umbach 26 6 0 21 Jun 2023
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks Darius Petermann Gordon Wichern Aswin Shanmugam Subramanian Zhong-Qiu Wang Jonathan Le Roux 27 10 0 14 Dec 2022
GPU-accelerated Guided Source Separation for Meeting Transcription Desh Raj Daniel Povey Sanjeev Khudanpur 26 35 0 10 Dec 2022
Multi-turn RNN-T for streaming recognition of multi-party speech Ilya Sklyar A. Piunova Xianrui Zheng Yulan Liu 24 22 0 19 Dec 2021
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
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments Jisi Zhang Catalin Zorila R. Doddipatla Jon Barker 17 46 0 11 Nov 2020
End-to-End Multi-speaker Speech Recognition with Transformer Xuankai Chang Wangyou Zhang Y. Qian Jonathan Le Roux Shinji Watanabe ViT 27 103 0 10 Feb 2020
End-to-end training of time domain audio separation and recognition Thilo von Neumann K. Kinoshita Lukas Drude Christoph Boeddeker Marc Delcroix Tomohiro Nakatani Reinhold Haeb-Umbach 25 34 0 18 Dec 2019