Search Results for author: Peter Plantinga

Found 8 papers, 4 papers with code

Continual Learning for End-to-End ASR by Averaging Domain Experts

no code implementations12 May 2023 Peter Plantinga, Jaekwon Yoo, Chandra Dhir

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.

Automatic Speech Recognition Continual Learning +2

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

3 code implementations8 Apr 2021 Szu-Wei Fu, Cheng Yu, Tsun-An Hsieh, Peter Plantinga, Mirco Ravanelli, Xugang Lu, Yu Tsao

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.

Speech Enhancement

Phonetic Feedback for Speech Enhancement With and Without Parallel Speech Data

1 code implementation3 Mar 2020 Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier

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.

Speech Enhancement

Towards Real-time Mispronunciation Detection in Kids' Speech

no code implementations3 Mar 2020 Peter Plantinga, Eric Fosler-Lussier

The other loss term uses a uni-directional model as teacher model to align the bi-directional model.

An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping

1 code implementation25 Sep 2018 Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier

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

no code implementations26 Mar 2018 Deblin Bagchi, Peter Plantinga, Adam Stiff, Eric Fosler-Lussier

For the task of speech enhancement, local learning objectives are agnostic to phonetic structures helpful for speech recognition.

Robust Speech Recognition Speech Enhancement +1

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