97 citations · 217 across the 14 of their papers we have counts for
5 papers · 1 filter
Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model
Zehai Tu, Ning Ma, Jon Barker
Current hearing aids normally provide amplification based on a general prescriptive fitting, and the benefits provided by the hearing aids vary among different listening environmen…
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation
Jisi Zhang, Catalin Zorila, Rama Doddipatla +1
In this paper, we introduce a novel semi-supervised learning framework for end-to-end speech separation. The proposed method first uses mixtures of unseparated sources and the mixt…
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…
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
Jisi Zhang, Catalin Zorila, Rama Doddipatla +1
In this paper, we present a novel multi-channel speech extraction system to simultaneously extract multiple clean individual sources from a mixture in noisy and reverberant environ…