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Found 3 papers, 0 papers with code
Unsupervised Spoken Term Discovery Based on Re-clustering of Hypothesized Speech Segments with Siamese and Triplet Networks
The Siamese/Triplet network is trained on the hypothesized examples to measure the similarity between two speech segments and hereby perform re-clustering of all hypothesized subword sequences to achieve spoken term discovery.
Unsupervised Pattern Discovery from Thematic Speech Archives Based on Multilingual Bottleneck Features
With the unsupervisedly trained acoustic models, a given audio archive is represented by a pseudo transcription, from which spoken keywords can be discovered by string mining algorithms.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data
This includes results about the ability of the noisy model to make the same decisions as the clean model and the effects of noise on model performance.
