175 citations · 706 across the 54 of their papers we have counts for
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Optimizing Multi-Taper Features for Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
Multi-taper estimators provide low-variance power spectrum estimates that can be used in place of the windowed discrete Fourier transform (DFT) to extract speech features such as m…
Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
After their introduction to robust speech recognition, power normalized cepstral coefficient (PNCC) features were successfully adopted to other tasks, including speaker verificatio…
Parameterized Channel Normalization for Far-field Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
We address far-field speaker verification with deep neural network (DNN) based speaker embedding extractor, where mismatch between enrollment and test data often comes from convolu…
Machine Learning for Stuttering Identification: Review, Challenges and Future Directions
Shakeel Ahmad Sheikh, Md Sahidullah, Fabrice Hirsch +1
Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary pauses and repetition of sounds. Stuttering identification is an interesting interdisc…
Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
Tomi Kinnunen, Andreas Nautsch, Md Sahidullah +6
Whether it be for results summarization, or the analysis of classifier fusion, some means to compare different classifiers can often provide illuminating insight into their behavio…