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Advancements in Statistical Signal Processing and Machine Learning for Speech Enhancement
This dissertation focuses on advancing the statistical signal processing and machine learning technologies in speech enhancement tasks. Statistical signal processing and machine learning are the most important and widely ...
Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations
Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current ...
Deep Neural Network Based Speaker Verification Under Domain Mismatched Conditions
Speaker verification (SV), which offers a natural and flexible solution for biometric authentication, has been actively studied in the past decades. Machine learning models usually achieve high performance with the ...
Advancements in Domain Adaptation for Speaker Recognition and Effective Speaker De-Identification
Recent advancements in machine learning and artificial intelligence have significantly impacted the way humans interact with machines. Voice assistant based solutions are examples of emerging technology advancements that ...