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Advancements in Acoustic Based Language Identification/Recognition
With over 6,000 languages spoken worldwide, effective language recognition(LR) is needed prior to employing any speech technologies. Language identiﬁcation (LID) is essential in speech pre-processing which is typically ...
Robust Speaker Modeling in Non-Neutral Environments with Application to Large Scale Multi-Speaker Audio Streams
With an explosive increase in the amount of multimedia content available worldwide and through the web, automatically detecting who spoke when in an audio stream is an important technique that has many practical applications. ...
Automatic Speaker Recognition and Diarization in Co-Channel Speech
This study investigates various aspects of multi-speaker interference and its impact on speaker recognition. Single-channel multi-speaker speech signals (aka co-channel speech) comprise a significant portion of speech ...
Robust acoustic modeling and front-end design for distant speech recognition
In recent years, there has been a significant increase in the popularity of voice-enabled technologies which use human speech as the primary interface with machines. Recent advancements in acoustic modeling and feature ...
Robust Back-End Processing for Speaker Verification under Language and Acoustic Mismatch Conditions
Recently, due to the availability of large amounts of data and computation power, there has been a significant rise in Machine Learning/Artificial Intelligence technology. Today, the amount of digital data being generated ...