Paris Smaragdis
John E. Burchard Professor
Develops signal processing and machine learning for artificial perception, especially computational audition and music processing.
Paris Smaragdis's lab at MIT works on music, audio & sound, speech enhancement & signal processing and signal processing & information theory. 20 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 9 papers2025 · T1 0
- 3 papers2024 · T1 0
- 8 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Speech enhancement & signal processing8 papers
- Music, audio & sound6 papers
- Signal processing & information theory1 paper
- audition0 papers
- develops signal0 papers
Paper list
From the lab homepage.
20259 papers
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Lake Tahoe, CA, USA, October .Adaptive Slimming for Scalable and Efficient Speech Enhancement
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Lake Tahoe, CA, USA, October .Combolutional Neural Networks
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP) , Istanbul, Turkey. August .Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
- ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, April, .Generative data augmentation challenge: Synthesis of room acoustics for speaker distance estimation
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Lake Tahoe, CA, USA, October .Learning to Upsample and Upmix Audio in the Latent Domain
- ICASSP IEEE International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, April, .On class separability pitfalls in audio-text con- trastive zero-shot learning
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP) , Istanbul, Turkey. August .Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Lake Tahoe, CA, USA, October .Rethinking Non-Negative Matrix Factor- ization with Implicit Neural Representations
- International So- ciety for Music Information Retrieval Conference (ISMIR), Daejeon, Korea, September, .User Guided Generative Source Separation
20243 papers
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, AprilMeta-AF Echo Cancellation for Improved Keyword Spotting
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, AprilNoise-Robust DSP-Assisted Neural Pitch Estimation with Very Low Complexity
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, AprilSound source separation using latent variational block-wise disentanglement
20238 papers
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, GreeceA framework for unified real-time personalized and non-personalized speech enhancement
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, Oct 22-25Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, GreeceFramewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, GreeceGenerative Modeling Based Manifold Learning for Adaptive Filtering Guidance
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, GreeceLatent Iterative Refinement for Modular Source Separation
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Rome, ItalyLow-complexity streaming speech super-resolution
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, GreeceOptimal Condition Training for Target Source Separation
- IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, Oct 22-25Unsupervised Improvement of Audio-Text Cross-Modal Representations
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Data
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