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Neural target speech extraction: An overview
Humans can listen to a target speaker even in challenging acoustic conditions that have
noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail …
noise, reverberation, and interfering speakers. This phenomenon is known as the cocktail …
A review of speaker diarization: Recent advances with deep learning
Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …
SpeechBrain: A general-purpose speech toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe… - ar** for single-and multi-channel speech enhancement and robust ASR
This study proposes a complex spectral map** approach for single-and multi-channel
speech enhancement, where deep neural networks (DNNs) are used to predict the real and …
speech enhancement, where deep neural networks (DNNs) are used to predict the real and …
Deep learning for environmentally robust speech recognition: An overview of recent developments
Eliminating the negative effect of non-stationary environmental noise is a long-standing
research topic for automatic speech recognition but still remains an important challenge …
research topic for automatic speech recognition but still remains an important challenge …
Speakerbeam: Speaker aware neural network for target speaker extraction in speech mixtures
The processing of speech corrupted by interfering overlap** speakers is one of the
challenging problems with regards to today's automatic speech recognition systems …
challenging problems with regards to today's automatic speech recognition systems …
Multi-channel deep clustering: Discriminative spectral and spatial embeddings for speaker-independent speech separation
The recently-proposed deep clustering algorithm represents a fundamental advance
towards solving the cocktail party problem in the single-channel case. When multiple …
towards solving the cocktail party problem in the single-channel case. When multiple …
End-to-end microphone permutation and number invariant multi-channel speech separation
An important problem in ad-hoc microphone speech separation is how to guarantee the
robustness of a system with respect to the locations and numbers of microphones. The …
robustness of a system with respect to the locations and numbers of microphones. The …