56 citations · 206 across the 12 of their papers we have counts for
14 papers
Promptformer: Prompted Conformer Transducer for ASR
Sergio Duarte-Torres, Arunasish Sen, Aman Rana +5
Context cues carry information which can improve multi-turn interactions in automatic speech recognition (ASR) systems. In this paper, we introduce a novel mechanism inspired by hy…
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition
Belen Alastruey, Lukas Drude, Jahn Heymann +1
Convolutional frontends are a typical choice for Transformer-based automatic speech recognition to preprocess the spectrogram, reduce its sequence length, and combine local informa…
Contextual-Utterance Training for Automatic Speech Recognition
Alejandro Gomez-Alanis, Lukas Drude, Andreas Schwarz +2
Recent studies of streaming automatic speech recognition (ASR) recurrent neural network transducer (RNN-T)-based systems have fed the encoder with past contextual information in or…
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget
Lukas Drude, Jahn Heymann, Andreas Schwarz +1
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. Howev…
Far-Field Automatic Speech Recognition
Reinhold Haeb-Umbach, Jahn Heymann, Lukas Drude +3
The machine recognition of speech spoken at a distance from the microphones, known as far-field automatic speech recognition (ASR), has received a significant increase of attention…
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
Thilo von Neumann, Christoph Boeddeker, Lukas Drude +4
Most approaches to multi-talker overlapped speech separation and recognition assume that the number of simultaneously active speakers is given, but in realistic situations, it is t…