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09/18/2023
Are Soft Prompts Good Zero-shot Learners for Speech Recognition?
Large self-supervised pre-trained speech models require computationally ...
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09/14/2023
Analysis of Speech Separation Performance Degradation on Emotional Speech Mixtures
Despite recent strides made in Speech Separation, most models are traine...
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05/20/2023
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware s...
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05/02/2023
Contrastive Speech Mixup for Low-resource Keyword Spotting
Most of the existing neural-based models for keyword spotting (KWS) in s...
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03/07/2023
Adaptive Knowledge Distillation between Text and Speech Pre-trained Models
Learning on a massive amount of speech corpus leads to the recent succes...
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02/28/2023
deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition
Existing self-supervised pre-trained speech models have offered an effec...
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09/14/2022
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive Regularization
Noise robustness in keyword spotting remains a challenge as many models ...
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04/11/2022
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
It is critical for a keyword spotting model to have a small footprint as...
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01/15/2022
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Building efficient architecture in neural speech processing is paramount...
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09/18/2021
