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Personalizing Keyword Spotting with Speaker Information
Keyword spotting systems often struggle to generalize to a diverse population with various accents and age groups.
Locale Encoding For Scalable Multilingual Keyword Spotting Models
A Multilingual Keyword Spotting (KWS) system detects spokenkeywords over multiple locales.
Noisy student-teacher training for robust keyword spotting
We propose self-training with noisy student-teacher approach for streaming keyword spotting, that can utilize large-scale unlabeled data and aggressive data augmentation.
Training Keyword Spotting Models on Non-IID Data with Federated Learning
We demonstrate that a production-quality keyword-spotting model can be trained on-device using federated learning and achieve comparable false accept and false reject rates to a centrally-trained model.
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