31 citations · 122 across the 37 of their papers we have counts for
7 papers · 1 filter
The Effect of Spoken Language on Speech Enhancement using Self-Supervised Speech Representation Loss Functions
George Close, Thomas Hain, Stefan Goetze
Recent work in the field of speech enhancement (SE) has involved the use of self-supervised speech representations (SSSRs) as feature transformations in loss functions. However, in…
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations
George Close, Thomas Hain, Stefan Goetze
Self-supervised speech representations (SSSRs) have been successfully applied to a number of speech-processing tasks, e.g. as feature extractor for speech quality (SQ) prediction,…
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition
Anna Ollerenshaw, Md Asif Jalal, Rosanna Milner +1
Speech emotion recognition (SER) is vital for obtaining emotional intelligence and understanding the contextual meaning of speech. Variations of consonant-vowel (CV) phonemic bound…
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition
Muhammad Umar Farooq, Thomas Hain
Exploiting cross-lingual resources is an effective way to compensate for data scarcity of low resource languages. Recently, a novel multilingual model fusion technique has been pro…
On Data Sampling Strategies for Training Neural Network Speech Separation Models
William Ravenscroft, Stefan Goetze, Thomas Hain
Speech separation remains an important area of multi-speaker signal processing. Deep neural network (DNN) models have attained the best performance on many speech separation benchm…
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation
Rehan Ahmad, Md Asif Jalal, Muhammad Umar Farooq +2
Knowledge distillation has widely been used for model compression and domain adaptation for speech applications. In the presence of multiple teachers, knowledge can easily be trans…