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ORCIDFrançois G. Germain
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- affiliation: Stanford University, Department of Music
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2020 – today
- 2024
[c22]Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Late Audio-Visual Fusion for in-the-Wild Speaker Diarization. ICASSP Workshops 2024: 174-178- [c21]Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-Weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe:
Improving Audio Captioning Models with Fine-Grained Audio Features, Text Embedding Supervision, and LLM Mix-Up Augmentation. ICASSP 2024: 316-320 - [c20]Chang-Bin Jeon, Gordon Wichern, François G. Germain, Jonathan Le Roux:
Why Does Music Source Separation Benefit from Cacophony? ICASSP Workshops 2024: 873-877 - [c19]Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization. ICASSP 2024: 1016-1020 - [c18]Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
Generation or Replication: Auscultating Audio Latent Diffusion Models. ICASSP 2024: 1156-1160 - [c17]Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux:
NeuroHeed+: Improving Neuro-Steered Speaker Extraction with Joint Auditory Attention Detection. ICASSP 2024: 11456-11460 - [c16]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. IWAENC 2024: 205-209 - [i15]Yoshiki Masuyama, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
NIIRF: Neural IIR Filter Field for HRTF Upsampling and Personalization. CoRR abs/2402.17907 (2024) - [i14]Junghyun Koo, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux:
SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers. CoRR abs/2404.02252 (2024) - [i13]Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Sound Event Bounding Boxes. CoRR abs/2406.04212 (2024) - [i12]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
Enhanced Reverberation as Supervision for Unsupervised Speech Separation. CoRR abs/2408.03438 (2024) - [i11]Kohei Saijo, Gordon Wichern, François G. Germain, Zexu Pan, Jonathan Le Roux:
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement. CoRR abs/2408.03440 (2024) - [i10]Kohei Saijo, Janek Ebbers, François G. Germain, Sameer Khurana, Gordon Wichern, Jonathan Le Roux:
Leveraging Audio-Only Data for Text-Queried Target Sound Extraction. CoRR abs/2409.13152 (2024) - [i9]Kohei Saijo, Janek Ebbers, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Task-Aware Unified Source Separation. CoRR abs/2410.23987 (2024) - 2023
- [c15]Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction. ASRU 2023: 1-8 - [c14]Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux:
Paᗧ-HuBERT: Self-Supervised Music Source Separation Via Primitive Auditory Clustering And Hidden-Unit Bert. ICASSP Workshops 2023: 1-5 - [c13]Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Cold Diffusion for Speech Enhancement. ICASSP 2023: 1-5 - [c12]François G. Germain, Gordon Wichern, Jonathan Le Roux:
Hyperbolic Unsupervised Anomalous Sound Detection. WASPAA 2023: 1-5 - [c11]Ricardo Falcón Pérez
, Gordon Wichern, François G. Germain, Jonathan Le Roux:
Location as Supervision for Weakly Supervised Multi-Channel Source Separation of Machine Sounds. WASPAA 2023: 1-5 - [i8]Ke Chen, Gordon Wichern, François G. Germain, Jonathan Le Roux:
Pac-HuBERT: Self-Supervised Music Source Separation via Primitive Auditory Clustering and Hidden-Unit BERT. CoRR abs/2304.02160 (2023) - [i7]Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe:
Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation. CoRR abs/2309.17352 (2023) - [i6]Dimitrios Bralios, Gordon Wichern, François G. Germain, Zexu Pan, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
Generation or Replication: Auscultating Audio Latent Diffusion Models. CoRR abs/2310.10604 (2023) - [i5]Zexu Pan, Gordon Wichern, Yoshiki Masuyama, François G. Germain, Sameer Khurana, Chiori Hori, Jonathan Le Roux:
Scenario-Aware Audio-Visual TF-GridNet for Target Speech Extraction. CoRR abs/2310.19644 (2023) - [i4]Zexu Pan, Gordon Wichern, François G. Germain, Sameer Khurana, Jonathan Le Roux:
NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection. CoRR abs/2312.07513 (2023) - 2022
- [i3]Zexu Pan, Gordon Wichern, François G. Germain, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Towards End-to-end Speaker Diarization in the Wild. CoRR abs/2211.01299 (2022) - [i2]Hao Yen, François G. Germain, Gordon Wichern, Jonathan Le Roux:
Cold Diffusion for Speech Enhancement. CoRR abs/2211.02527 (2022) - 2021
- [c10]François G. Germain:
Practical Virtual Analog Modeling Using MÖbius Transforms. DAFx 2021: 49-56 - [c9]François G. Germain:
Periodic Analysis of Nonlinear Virtual Analog Models. WASPAA 2021: 321-325
2010 – 2019
- 2019
- [c8]François G. Germain, Qifeng Chen, Vladlen Koltun:
Speech Denoising with Deep Feature Losses. INTERSPEECH 2019: 2723-2727 - 2018
- [i1]François G. Germain, Qifeng Chen, Vladlen Koltun:
Speech Denoising with Deep Feature Losses. CoRR abs/1806.10522 (2018) - 2017
- [c7]François G. Germain, Kurt James Werner:
Optimizing differentiated discretization for audio circuits beyond driving point transfer functions. WASPAA 2017: 384-388 - 2016
- [c6]François G. Germain, Gautham J. Mysore, Takako Fujioka:
Equalization matching of speech recordings in real-world environments. ICASSP 2016: 609-613 - 2015
- [c5]François G. Germain, Iretiayo A. Akinola, Qiyuan Tian, Steven Lansel, Brian A. Wandell:
Efficient illuminant correction in the local, linear, learned (L3) method. Digital Photography 2015: 940404 - [c4]François G. Germain, Gautham J. Mysore:
Speaker and noise independent online single-channel speech enhancement. ICASSP 2015: 71-75 - 2014
- [j1]François G. Germain, Gautham J. Mysore:
Stopping Criteria for Non-Negative Matrix Factorization Based Supervised and Semi-Supervised Source Separation. IEEE Signal Process. Lett. 21(10): 1284-1288 (2014) - 2013
- [c3]François G. Germain, Dennis L. Sun, Gautham J. Mysore:
Speaker and noise independent voice activity detection. INTERSPEECH 2013: 732-736 - [c2]Zafar Rafii, François G. Germain, Dennis L. Sun, Gautham J. Mysore:
Combining Modeling Of Singing Voice And Background Music For Automatic Separation Of Musical Mixtures. ISMIR 2013: 41-46
2000 – 2009
- 2009
- [c1]François G. Germain, Gianpaolo Evangelista:
Synthesis of guitar by digital waveguides: Modeling the plectrum in the physical interaction of the player with the instrument. WASPAA 2009: 25-28
Coauthor Index
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