97 citations · 101 across the 2 of their papers we have counts for
7 papers
DHASP: Differentiable Hearing Aid Speech Processing
Zehai Tu, Ning Ma, Jon Barker
Hearing aids are expected to improve speech intelligibility for listeners with hearing impairment. An appropriate amplification fitting tuned for the listener's hearing disability…
The Use of Voice Source Features for Sung Speech Recognition
Gerardo Roa Dabike, Jon Barker
In this paper, we ask whether vocal source features (pitch, shimmer, jitter, etc) can improve the performance of automatic sung speech recognition, arguing that conclusions previou…
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments
Jisi Zhang, Catalin Zorila, Rama Doddipatla +1
This paper introduces a new method for multi-channel time domain speech separation in reverberant environments. A fully-convolutional neural network structure has been used to dire…
Clarity: Machine Learning Challenges to Revolutionise Hearing Device Processing
Simone Graetzer, Michael Akeroyd, Jon P. Barker +5
In the Clarity project, we will run a series of machine learning challenges to revolutionise speech processing for hearing devices. Over five years, there will be three paired chal…
CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings
Shinji Watanabe, Michael Mandel, Jon Barker +18
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6). The new challenge revisits…
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
Mandar Gogate, Ahsan Adeel, Ricard Marxer +2
Human auditory cortex excels at selectively suppressing background noise to focus on a target speaker. The process of selective attention in the brain is known to contextually expl…