Speech Enhancement in the STFT Domain
By Jacob Benesty, Jingdong Chen, Emanuël Habets. 2011
137 citations recorded by the source corpus.
Subfields: Computational Mechanics, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Vishak Gopal
- Ross Cutler
- Robert Aichner
- Hannes Gamper
- Harishchandra Dubey
- Sebastian Braun
- Moacir Antonelli Ponti
- Edresson Casanova
In Signal Processing
- Ross Cutler
- Vishak Gopal
- Robert Aichner
- Hannes Gamper
- Sebastian Braun
- Harishchandra Dubey
- Takuya Yoshioka
- Sefik Emre Eskimez
Citations in the corpus
- ICASSP 2023 Deep Noise Suppression Challenge (2023, background): “In this challenge, participants could use any datasets including external corpora, challenge training datasets to do model training.”
- End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020, methodology): “The first, called Text2Mel (text to Mel spectrogram), which aims to generate a Mel spectrogram from an input text and the second, Spectrogram Super-resolution Network (SSRN), which converts a Mel spectrogram to the STFT (Short-time Fourier Transform) spectrogram [Benesty et al., 2011].”