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MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Research article (ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024) · cited 44× · AI/ML
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MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation

Summary

MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation is a scholarly article[1].

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  • MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation. Retrieved May 24, 2026, from https://4ort.xyz/entity/mossformer2-combining-transformer-and-rnn-free-recurrent-network-for-enhanced-time-domain-monaural-speech-separation
MLA “MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mossformer2-combining-transformer-and-rnn-free-recurrent-network-for-enhanced-time-domain-monaural-speech-separation.
BibTeX @misc{4ortxyz_mossformer2-combining-transformer-and-rnn-free-recurrent-network-for-enhanced-time-domain-monaural-speech-separation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation}}, year = {2026}, url = {https://4ort.xyz/entity/mossformer2-combining-transformer-and-rnn-free-recurrent-network-for-enhanced-time-domain-monaural-speech-separation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation — https://4ort.xyz/entity/mossformer2-combining-transformer-and-rnn-free-recurrent-network-for-enhanced-time-domain-monaural-speech-separation (retrieved 2026-05-24)

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