Starkey Signal Processing Research Award
The Starkey Signal Processing Research Award, sponsored by Starkey Hearing Technologies, a recognized global leader in providing the highest quality hearing technology available, honors the student(s) of an outstanding paper in the areas of assisted listening technologies, speech enhancement, noise suppression and low power real-time embedded design for hearing instruments, accepted for publication in ICASSP sponsored by the IEEE Signal Processing Society. Eligible candidates must be enrolled and pursuing a relevant degree in a university. The award is a cash award in the amount of 1000 euros, which is to be used by the recipient(s) to attend the conference. Applications should be sent to the chair of the Audio and Acoustic Signal Processing Technical Committee (p.naylor@imperial.ac.uk), the chair of the Speech and Language Processing Technical Committee (bhuvana@us.ibm.com) and the chair of the Design and Implementation of Signal Processing Systems Technical Committee (warren.gross@mcgill.ca). The application deadline will be announced at the ICASSP website. Eligible papers will be evaluated and judged based on the quality and relevance to the areas of identified research.
For 2015 Starkey Signal Processing Research Award, we have received the following candidates:
1. BINAURAL MULTICHANNEL WIENER FILTER WITH DIRECTIONAL INTERFERENCE REJECTION
Elior Hadad, Bar-Ilan University [Student]
Daniel Marquardt, University of Oldenburg [Student]
Simon Doclo, University of Oldenburg
Sharon Gannot, Bar-Ilan University
2. A DEEP NEURAL NETWORK FOR TIME-DOMAIN SIGNAL RECONSTRUCTION
Yuxuan Wang [Student]
DeLiang Wang, The Ohio-State University
After a careful consideration, we have selected Yuxuan Wang as the winner for the 2015 Starkey Signal Processing Research Award.
ICASSP 2015 Best Student Paper Awards
Sponsored by IBM
The Best Student Paper Award recognises the authors of the best student papers accepted for publication in the proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). A paper is considered a student paper if and only if the first author/s is a student at the time of the paper submission. Student papers must be marked so during the paper submission. The Best Student Paper Award is shared among all students authoring the paper. All student papers can participate to the Best Student Paper Award independently of the paper area. All papers shall be equally judged. The Best Student Paper Award consists in a certificate and a money prize. The award will be announced at an event during the conference. In case of a no-show of an awarded paper, the corresponding award will be revoked and not assigned to any other paper.
The following procedure will be followed to select the best student papers: During the review process, reviewers will be asked to assess if the student papers have Award quality. Based on these reviews, the Technical Committees will select the best student paper in each track amongst those accepted for the conference. The list of all best student papers per track will be published on the conference website and the authors of these papers will receive a certificate recognising their achievement. A committee of judges will independently review again all the papers of this list and will eventually select the paper/s to be awarded with the Best Student Paper Award.
After a careful selection, the IEEE Signal Processing Society Technical Committees have decided the candidate papers for the Best Student Paper Award (see the list below). Each of them represents the best student paper for a specific signal processing track and this is already a great achievement for the authors. All the papers will be reviewed again by another independent committee of judges that will eventually select the papers to be awarded with the Best Student Paper Award. The award will be announced at an event during the conference. In case of a no-show of an awarded paper, the corresponding award will be revoked and not assigned to any other paper.
For ICASSP 2015, the candidates are:
- AASP 3662 “COMPENSATING FOR ASYNCHRONIES BETWEEN MUSICAL VOICES IN SCORE-PERFORMANCE ALIGNMENT”, Siying Wang, Sebastian Ewert, Simon Dixon, Queen Mary University of London
- DISPS 3763 “LATTICE FIR DIGITAL FILTER ARCHITECTURES USING STOCHASTIC COMPUTING”, Yin Liu and Keshab Parhi, UMN
- IFS 2547 “ANTI-CROPPING BLIND RESYNCHRONIZATION FOR 3D WATERMARKING”, Xavier Rolland-Nevière, Technicolor R&D France, Gwenaël Doërr, Technicolor R&D France, Pierre Alliez, Inria, Sophia-Antipolis
- MLSP 3560 “AN ONLINE EM ALGORITHM IN HIDDEN (SEMI-)MARKOV MODELS FOR AUDIO SEGMENTATION AND CLUSTERING”, Alberto Bietti, Inria, Ircam, Francis Bach, Inria, ENS, Arshia Cont, Inria, Ircam
- SAM 3569 “SPARSE SENSING FOR DISTRIBUTED GAUSSIAN DETECTION”, Sundeep Prabhakar Chepuri and Geert Leus, TU Delft
- SLTC 2918 “A GAUSSIAN MIXTURE MODEL LAYER JOINTLY OPTIMIZED WITH DISCRIMINATIVE FEATURES WITHIN A DEEP NEURAL NETWORK ARCHITECTURE”, Ehsan Variani, JHU, Erik McDermott, Google, and Georg Heigold, Google
- SPCOM 4681 “NONCOHERENT SEQUENCE DETECTION OF ORTHOGONALLY MODULATED SIGNALS IN FLAT FADING WITH LOG-LINEAR COMPLEXITY”, Panos N. Alevizos, Yannis Fountzoulas, George N. Karystinos and Aggelos Bletsas, TU Crete
- SPTM 4694 “MULTI-GRAPH LEARNING OF SPECTRAL GRAPH DICTIONARIES”
Dorina Thanou, Pascal Frossard, EPFL
The winners, as announced at the ICASSP 2015 Opening Ceremony and Awards Presentation, are Sundeep Prabhakar Chepuri, Ehsan Variani, Panos N. Alevizos, Yannis Fountzoulas and Dorina Thanou.
IEEE Ganesh N. Ramaswamy Memorial Student Grant
Winner of the IEEE Ganesh N. Ramaswamy Memorial Student Grant:
* Sven Shepstone – Aalborg University, Denmark
P2229: “SOURCE-SPECIFIC INFORMATIVE PRIOR FOR I-VECTOR EXTRACTION”
with Kong Aik Lee, Haizhou Li, Zheng-Hua Tan, and Søren Holdt Jensen
The Ganesh N. Ramaswamy Memorial Student Grant Fund was established with a $10,000 contribution from IBM. It will be administered by the IEEE Signal Processing Society to honor the memory of the former member and IBM employee who died in 2008. Ramaswamy was manager of the Conversational Biometrics Group in the Human Language Technologies Department at the IBM Thomas J. Watson Research Center in Yorktown Heights, N.Y. He was a member of the IEEE Speech and Language Technical Committee. Candidates must be pursuing a degree at a university. The fund will support the recognition of an outstanding paper by a student in the technical area of speech or language recognition. The award will be presented at the annual IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
The Ganesh N. Ramaswamy Memorial Fund is a cash grant, with a fixed dollar amount, administered by the IEEE Foundation, which is to be used by each student to attend the ICASSP conference. The recipient(s) of the grant will be announced at an event during the conference.
IEEE Spoken Language Processing Student Travel Grant
Winners of the IEEE Spoken Language Processing Student Travel Grant:
* Tian Tan – Shanghai Jiao Tong University, China
P4176: “CLUSTER ADAPTIVE TRAINING FOR DEEP NEURAL NETWORK”
with Yanmin Qian, Maofan Yin, Yimeng Zhuang, and Kai Yu
* Simon Wiesler – RWTH Aachen University, Germany
P3653: “INVESTIGATIONS ON SEQUENCE TRAINING OF NEUTRAL NETWORKS”
with Pavel Golik, Ralf Schluter and Hermann Ney
The IEEE Spoken Language Processing Student Travel Grant, sponsored by Drs. XD Huang, Alex Acero and Hsiao-Wuen Hon with proceeds from royalties of their book Spoken Language Processing (Prentice Hall, 2001), honors the student of an outstanding paper in the spoken language processing area accepted for publication in a conference (ICASSP) or a workshop (ASRU) sponsored by the IEEE Signal Processing Society. This is a cash grant, with a fixed dollar amount, administered by the IEEE Foundation, which is to be used by each student to attend such conference or workshop. The recipient(s) of the grant will be announced at an event during the conference or workshop. Candidates must be pursuing a degree at a university. Papers will be judged on the basis of quality and need, which will be evaluated by the IEEE Signal Processing Society’s Speech and Language Technical Committee. More information about the Spoken Language Processing Student Travel Grant is available at: http://research.microsoft.com/en-us/people/alexac/award.aspx.
