216 citations · 221 across the 7 of their papers we have counts for
5 papers · 1 filter
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Jiuxin Lin, Peng Wang, Heinrich Dinkel +6
Previously, Target Speaker Extraction (TSE) has yielded outstanding performance in certain application scenarios for speech enhancement and source separation. However, obtaining au…
An empirical study of weakly supervised audio tagging embeddings for general audio representations
Heinrich Dinkel, Zhiyong Yan, Yongqing Wang +2
We study the usability of pre-trained weakly supervised audio tagging (AT) models as feature extractors for general audio representations. We mainly analyze the feasibility of tran…
UniKW-AT: Unified Keyword Spotting and Audio Tagging
Heinrich Dinkel, Yongqing Wang, Zhiyong Yan +2
Within the audio research community and the industry, keyword spotting (KWS) and audio tagging (AT) are seen as two distinct tasks and research fields. However, from a technical po…
Pseudo strong labels for large scale weakly supervised audio tagging
Heinrich Dinkel, Zhiyong Yan, Yongqing Wang +2
Large-scale audio tagging datasets inevitably contain imperfect labels, such as clip-wise annotated (temporally weak) tags with no exact on- and offsets, due to a high manual label…
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang +18
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…