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Found 7 papers, 4 papers with code
Continual Learning for End-to-End ASR by Averaging Domain Experts
Our experiments show that a simple linear interpolation of several models' parameters, each fine-tuned from the same generalist model, results in a single model that performs well on all tested data.
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit.
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
The discrepancy between the cost function used for training a speech enhancement model and human auditory perception usually makes the quality of enhanced speech unsatisfactory.
Ranked #9 on
Speech Enhancement
on VoiceBank + DEMAND
Towards Real-time Mispronunciation Detection in Kids' Speech
The other loss term uses a uni-directional model as teacher model to align the bi-directional model.
Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data
While deep learning systems have gained significant ground in speech enhancement research, these systems have yet to make use of the full potential of deep learning systems to provide high-level feedback.
An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping
Spectral mapping uses a deep neural network (DNN) to map directly from noisy speech to clean speech.
Sound Audio and Speech Processing
Spectral feature mapping with mimic loss for robust speech recognition
For the task of speech enhancement, local learning objectives are agnostic to phonetic structures helpful for speech recognition.
