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eess.AS2025
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
Aleš Pražák, Marie Kunešová, Josef Psutka
Overlapping speech remains a major challenge for automatic speech recognition (ASR) in real-world applications, particularly in broadcast media with dynamic, multi-speaker interact…
eess.AS2018★ 1 cited
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures
Jan Vanek, Josef Michalek, Jan Zelinka +1
Recently, recurrent neural networks have become state-of-the-art in acoustic modeling for automatic speech recognition. The long short-term memory (LSTM) units are the most popular…