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Full-Text Articles in Physical Sciences and Mathematics
Data-Centric Machine Learning For Speech And Audio, Ali Raza Syed
Data-Centric Machine Learning For Speech And Audio, Ali Raza Syed
Dissertations, Theses, and Capstone Projects
There is growing recognition of the importance of data-centric methods for building machine learning systems. Data-centric methods assume a fixed model and iterate over the data to improve system performance. This is in contrast to traditional model-centric approaches, which assume a fixed dataset and iterate over models for the same ends. Data-centric machine learning is driven by the observation that, beyond the size of the training data, model performance depends on factors such as the quality of the annotations, and whether the data are representative of conditions in which models will be deployed. This is particularly of interest in the …
Speech Enhancement Using Speech Synthesis Techniques, Soumi Maiti
Speech Enhancement Using Speech Synthesis Techniques, Soumi Maiti
Dissertations, Theses, and Capstone Projects
Traditional speech enhancement systems reduce noise by modifying the noisy signal to make it more like a clean signal, which suffers from two problems: under-suppression of noise and over-suppression of speech. These problems create distortions in enhanced speech and hurt the quality of the enhanced signal. We propose to utilize speech synthesis techniques for a higher quality speech enhancement system. Synthesizing clean speech based on the noisy signal could produce outputs that are both noise-free and high quality. We first show that we can replace the noisy speech with its clean resynthesis from a previously recorded clean speech dictionary from …