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Found 4 papers, 3 papers with code
Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training
It has been generally assumed in the automatic speech recognition (ASR) literature that it is better for models to have access to wider context windows.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support
Building Agent Assistants that can help improve customer service support requires inputs from industry users and their customers, as well as knowledge about state-of-the-art Natural Language Processing (NLP) technology.
FAB: The French Absolute Beginner Corpus for Pronunciation Training
The corpus is split into three partitions: one from an experiment with minimal feedback; another with explicit, word-level feedback; and a third with supplementary read-and-record data.
Exploring spectro-temporal features in end-to-end convolutional neural networks
Triangular, overlapping Mel-scaled filters ("f-banks") are the current standard input for acoustic models that exploit their input's time-frequency geometry, because they provide a psycho-acoustically motivated time-frequency geometry for a speech signal.
