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Lightweight feature encoder for wake-up word detection based on self-supervised speech representation
Self-supervised learning method that provides generalized speech representations has recently received increasing attention.
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
At the same time, there is an increasing requirement for an SV system: it should be robust to short speech segments, especially in noisy and reverberant environments.
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
Acoustic word embeddings --- fixed-dimensional vector representations of arbitrary-length words --- have attracted increasing interest in query-by-example spoken term detection.
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
Furthermore, we apply deep length normalization by augmenting the loss function with ring loss.
Learning acoustic word embeddings with phonetically associated triplet network
Previous researches on acoustic word embeddings used in query-by-example spoken term detection have shown remarkable performance improvements when using a triplet network.
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