Bio

My name is Yael Segal. I am a Computer-Science PhD candidate at Technion–Israel Institute of Technology under the supervision of Prof. Joseph Keshet. My research interests are in machine-learning, deep-learning and their applications in detection and localization of speech objects, specifically keyword spotting, spoken term detection and Diadochokinetic (DDK) .

Publications

• DDKtor: Automatic diadochokinetic speech analysis. Yael Segal, Kasia Hitczenko, Matthew Goldrick, Adam Buchwald, Angela Roberts and Joseph Keshet. (INTERSPEECH 2022). Code.
• DeepFry: Identifying Vocal Fry Using Deep Neural Networks. Bronya R. Chernyak*, Talia Ben Simon*, Yael Segal*, Jeremy Steffman, Eleanor Chodroff, Jennifer S. Cole, Joseph Keshet. (INTERSPEECH 2022).
• Pitch Estimation by Multiple Octave Decoders. Yael Segal, May Arama-Chayoth, Joseph Keshet. IEEE Signal Processing Letters, vol. 28, pp. 1610-1614, 2021, doi: 10.1109/LSP.2021.3100812. Code.
• CNN-based Spoken Term Detection and Localization without Dynamic Programming. Tzeviya Sylvia Fuchs*, Yael Segal*, Joseph Keshet. The 46th IEEE International Conference in Acoustic, Speech and Signal Processing (ICASSP), 2021, Paper.
• SpeechYOLO: Detection and Localization of Speech Objects. Yael Segal*, Tzeviya Sylvia Fuchs*, Joseph Keshet. The 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019, Sep. 2019, pp. 4210–4214, Code.