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Found 5 papers, 1 papers with code
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition
Convolutional frontends are a typical choice for Transformer-based automatic speech recognition to preprocess the spectrogram, reduce its sequence length, and combine local information in time and frequency similarly.
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget
Automatic speech recognition (ASR) in the cloud allows the use of larger models and more powerful multi-channel signal processing front-ends compared to on-device processing.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Unsupervised training of neural mask-based beamforming
In contrast to previous work on unsupervised training of neural mask estimators, our approach avoids the need for a possibly pre-trained teacher model entirely.
ESPnet: End-to-End Speech Processing Toolkit
This paper introduces a new open source platform for end-to-end speech processing named ESPnet.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Neural network based spectral mask estimation for acoustic beamforming
The network training is independent of the number and the geometric configuration of the microphones.
