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Found 7 papers, 0 papers with code
Locality enhanced dynamic biasing and sampling strategies for contextual ASR
During training, a list of biasing phrases are selected from a large pool of phrases following a sampling strategy.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Consistency Based Unsupervised Self-training For ASR Personalisation
On-device Automatic Speech Recognition (ASR) models trained on speech data of a large population might underperform for individuals unseen during training.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer
Our paper proposes a privacy-enhancing framework that targets speaker identity anonymization while preserving speech recognition accuracy for our downstream task~-~Automatic Speech Recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training
In this paper, we explore an improved framework to train a monoaural neural enhancement model for robust speech recognition.
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation
The proposed method first uses mixtures of unseparated sources and the mixture invariant training (MixIT) criterion to train a teacher model.
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
In this paper, we present a novel multi-channel speech extraction system to simultaneously extract multiple clean individual sources from a mixture in noisy and reverberant environments.
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments
To reduce the influence of reverberation on spatial feature extraction, a dereverberation pre-processing method has been applied to further improve the separation performance.
