LibriCSS
Emerging21papers using it
2022first seen
'LibriCSS' is a dataset used to evaluate speech separation performance in realistic acoustic environments, containing recordings of overlapping speakers and background noise.
Papers using LibriCSS (21)
- TS-SEP: Joint Diarization And Separation Conditioned On Estimated Speaker EmbeddingsAn Initialization Scheme For Meeting Separation With Spatial Mixture ModelsMeeting Recognition With Continuous Speech Separation And Transcription-supported DiarizationTF-CorrNet: Leveraging Spatial Correlation for Continuous Speech SeparationTS-SEP: Joint Diarization and Separation Conditioned on Estimated
Speaker EmbeddingsAsymmetric Encoder-Decoder Based on Time-Frequency Correlation for Speech SeparationElevating Robust Multi-talker ASR By Decoupling Speaker Separation And Speech RecognitionElevating Robust Multi-Talker ASR by Decoupling Speaker Separation and
Speech RecognitionSimultaneous Diarization and Separation of Meetings through the
Integration of Statistical Mixture ModelsCombining TF-GridNet and Mixture Encoder for Continuous Speech
Separation for Meeting TranscriptionSimultaneous Diarization And Separation Of Meetings Through The Integration Of Statistical Mixture ModelsCombining Tf-gridnet And Mixture Encoder For Continuous Speech Separation For Meeting TranscriptionGPU-accelerated Guided Source Separation for Meeting TranscriptionMeeting Recognition with Continuous Speech Separation and
Transcription-Supported DiarizationSURT 2.0: Advances in Transducer-based Multi-talker Speech RecognitionDCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech
Recognition under Realistic Single-Channel ConditionsMMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal GeneratorMulti-resolution location-based training for multi-channel continuous
speech separationSpeaker Change Detection for Transformer Transducer ASRStatistical Beamformer Exploiting Non-stationarity and Sparsity with
Spatially Constrained ICA for Robust Speech RecognitionMulti-channel Conversational Speaker Separation via Neural Diarization