Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Reducing the interference noise in a monaural noisy speech signal has been a challenging task for many years. Compared to traditional unsupervised speech enhancement methods, e.g., Wiener filtering, supervised approaches, such as algorithms based on hidden Markov models (HMM), lead to higher-quality enhanced speech signals. However, the main practical difficulty …