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Found 5 papers, 2 papers with code
TSPP: A Unified Benchmarking Tool for Time-series Forecasting
While machine learning has witnessed significant advancements, the emphasis has largely been on data acquisition and model creation.
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
We introduce Dynatask: an open source system for setting up custom NLP tasks that aims to greatly lower the technical knowledge and effort required for hosting and evaluating state-of-the-art NLP models, as well as for conducting model in the loop data collection with crowdworkers.
Improving Voice Trigger Detection with Metric Learning
A detector is typically trained on speech data independent of speaker information and used for the voice trigger detection task.
Efficacy of Transformer Networks for Classification of Raw EEG Data
Despite having achieved automated feature extraction in several other domains, deep learning has not yet been accomplished for EEG.
Multi-task Learning with Cross Attention for Keyword Spotting
In this approach, an output of an acoustic model is split into two branches for the two tasks, one for phoneme transcription trained with the ASR data and one for keyword classification trained with the KWS data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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