7 accepted papers
This paper proposes two novel variants of neural reprogramming to enhance wake word recognition in streaming end-to-end ASR models without updating model weights. The first, "trigger-frame reprogramming", prepends the input speech feature sequence with the learned trigger-frames of the target wake w…
Speaker Verification still suffers from the challenge of generalization to novel adverse environments. We leverage on the recent advancements made by deep learning based speech enhancement and propose a feature-domain supervised denoising based solution. We propose to use Deep Feature Loss which opt…
The task of making speaker verification systems robust to adverse scenarios remains a challenging and an active area of research. We developed an unsupervised feature enhancement approach in log-filter bank space with the end goal of improving speaker verification performance. We experimented with u…
It is well known that domain mismatch between the training and evaluation data hinders the performance of any machine learning system. Various factors contribute to domain mismatch. In speaker recognition systems, it mainly occurs due to the mismatch in recording conditions and language. Most speake…
We extend our previous work on training mixed-bandwidth (BW) speaker recognition system by predicting missing information in upperband (UB) of upsampled telephone speech. Mixed-BW systems combine speech from narrowband (NB) and wideband (WB) speech corpora by basic upsampling of NB speech with low-p…
Information from different bio-signals such as speech, handwriting, and gait have been used to monitor the state of Parkinson's disease (PD) patients, however, all the multimodal bio-signals may not always be available. We propose a method based on multi-view representation learning via generalized…
Different modes of vibration of the vocal folds contribute significantly to the voice quality. The neutral mode phonation, often used in a modal voice, is one against which the other modes can be contrastively described, also called non-modal phonations. This paper investigates the impact of non-mod…