News & Events

395 were found.

  •  NEWS   Anthony Vetro appointed to IEEE Signal Processing Society Conference Board
    Date: January 1, 2018
    MERL Contact: Anthony Vetro
    Research Area: Multimedia
    • Anthony Vetro has been appointed to the Conference Board of the IEEE Signal Processing Society. His term is two years and expires in December 2019. He will also serve as a member of the Conference Board Executive Subcommittee.
  •  NEWS   MERL presents 3 papers at ASRU 2017, John Hershey serves as general chair
    Date: December 16, 2017 - December 20, 2017
    Where: Okinawa, Japan
    MERL Contacts: John Hershey; Chiori Hori; Takaaki Hori; Jonathan Le Roux
    Research Areas: Multimedia, Speech & Audio, Computer Vision, Machine Learning
    • MERL presented three papers at the 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), which was held in Okinawa, Japan from December 16-20, 2017. ASRU is the premier speech workshop, bringing together researchers from academia and industry in an intimate and collegial setting. More than 270 people attended the event this year, a record number. MERL's Speech and Audio Team was a key part of the organization of the workshop, with John Hershey serving as General Chair, Chiori Hori as Sponsorship Chair, and Jonathan Le Roux as Demonstration Chair. Two of the papers by MERL were selected among the 10 finalists for the best paper award. Mitsubishi Electric and MERL were also Platinum sponsors of the conference, with MERL awarding the MERL Best Student Paper Award.
  •  NEWS   MERL among top Massachusetts organizations in patent activity
    Date: November 27, 2017
    MERL Contact: Richard (Dick) Waters
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    • A recent report by JLL finds that MERL is among the top 10 organizations in Massachusetts in terms of patent filings in 2010-2015. This is especially notable since MERL is by far the smallest organization in that group.
  •  NEWS   MERL invites applications for Visiting Faculty
    Date: February 15, 2018
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    • University faculty members are invited to spend part or all of their sabbaticals at MERL, pursuing projects of their own choosing in collaboration with MERL researchers.

      To apply, a candidate should identify and contact one or more MERL researchers with whom they would like to collaborate. The applicant and a MERL researcher will jointly prepare a proposal that the researcher will champion internally. Please visit the visiting faculty web page for further details:

      The application deadline for positions starting in Summer/Fall 2018 is February 15, 2018.
  •  EVENT   MERL leads organization of dialog technology challenges and associated workshop
    Date: Sunday, December 10, 2017
    MERL Contacts: Bret Harsham; John Hershey; Chiori Hori; Takaaki Hori
    Location: Hyatt Regency, Long Beach, CA
    Research Areas: Multimedia, Speech & Audio
    • MERL researcher Chiori Hori led the organization of the 6th edition of the Dialog System Technology Challenges (DSTC6). This year's edition of DSTC is split into three tracks: End-to-End Goal Oriented Dialog Learning, End-to-End Conversation Modeling, and Dialogue Breakdown Detection. A total of 23 teams from all over the world competed in the various tracks, and will meet at the Hyatt Regency in Long Beach, CA, USA on December 10 to present their results at a dedicated workshop colocated with NIPS 2017.

      MERL's Speech and Audio Team and Mitsubishi Electric Corporation jointly submitted a set of systems to the End-to-End Conversation Modeling Track, obtaining the best rank among 19 submissions in terms of objective metrics.
  •  NEWS   Mouhacine Benosman joins the Editorial Board of the Journal of Optimization Theory and Applications
    Date: November 27, 2017
    MERL Contact: Mouhacine Benosman
    Research Area: Multimedia
    • MERL researcher Mouhacine Benosman has been appointed as a member of the Editorial Board of the Journal of Optimization Theory and Applications (JOTA).

      The Journal of Optimization Theory and Applications publishes carefully selected papers covering mathematical optimization techniques and their applications to science and engineering. An applications paper should be as much about the application of an optimization technique as it is about the solution of a particular problem.
  •  EVENT   MERL's Petros Boufounos is co-organizing symposium on The Future Of Signal Processing
    Date & Time: Monday, October 23, 2017; 8:00am-4:00pm
    MERL Contact: Petros Boufounos
    Location: MIT Samberg Conference Center Floor 7, 50 Memorial Drive, Cambridge, MA 02142
    Research Areas: Multimedia, Computational Sensing, Wireless Communications & Signal Processing
    • Dr. Petros Boufounos is co-organizing the symposium on "The Future of Signal Processing," held in honor of the 80th birthday of Prof. Alan V. Oppenheim.

      Details at:

      Organizing committee:
      Dr. Tom Baran, Lumii
      Dr. Petros Boufounos, MERL
      Prof. Anantha Chandrakasan, MIT
      Prof. Yonina Eldar, Technion

      8:00-8:45 Coffee
      8:45-9:00 Opening remarks
      Prof. Martin Schmidt, Provost, MIT
      9:00-9:35 The ever-expanding physical boundaries of Signal Processing
      Prof. Martin Vetterli, President of EPFL, Lausanne
      9:35-10:10 Signal Processors and the U.S. Navy: Enduring Partners
      Admiral John Richardson, Chief of Naval Operations, US Navy

      10:10-10:30 Short break

      10:30-11:05 Signals and Signal Processing: The Invisibles and The Everlastings
      Prof. Min Wu, Professor of Electrical and Computer Engineering, University of Maryland
      11:05-11:40 Signal processing with quantum computers
      Prof. Isaac Chuang, Professor of Physics and Electrical Engineering; Senior Associate Dean of Digital Learning, MIT

      11:40-12:30 A box lunch will be provided. In your lunchbox, you'll find an envelope with four cards in it. Bring these cards back to your seats promptly after lunch for a magical surprise!

      12:30-12:40 Your Role in the Future of Signal Processing
      Magician Joel Acevedo

      12:40-1:05 Future of Low-power Embedded Signal Processing
      Prof. Anantha Chandrakasan, Dean, School of Engineering, MIT
      1:05-1:30 Synthetic biology and signal processing in living cells
      Prof. Ron Weiss, MIT, Professor of Biological Engineering and Director of the Synthetic Biology Center
      1:30-1:55 Physics 101 for Data Scientists
      Prof. Richard Baraniuk, Professor of Electrical and Computer Engineering at Rice University, Founder and Director of OpenStax College

      1:55-2:15 Short break

      2:15-2:40 Signals: Representation and Information
      Prof. Meir Feder, Professor of Electrical Engineering, Tel Aviv University

      2:40-3:05 Exposing and Removing Information: Some new Mathematics for Signal Processing
      Dr. Petros Boufounos, Senior Principal Research Scientist, Sensing Team Leader, Mitsubishi Electric Research Labs

      3:05-4:00 Panel discussion: The Venn diagram between "Data Science," "Machine Learning" and "Signal Processing"
      Prof. Alan Oppenheim, Ford Professor of Engineering, MIT
      Prof. Asu Ozdaglar, Associate Department Head, Electrical Engineering and Computer Science, MIT
      Prof. Ron Schafer, Georgia Tech (Emeritus) and Stanford Univ.
      Prof. Yonina Eldar, Professor of Electrical Engineering, Technion
      Prof. Victor Zue, Professor of Electrical and Computer Engineering, MIT
      Prof. Alexander Rakhlin, Associate Professor of Statistics, University of Pennsylvania
      4:00 Closing remarks
  •  EVENT   MERL 2nd Annual Open House
    Date & Time: Thursday, November 30, 2017; 4-6pm
    MERL Contacts: Marissa Deegan; Elizabeth Phillips; Jeroen van Baar; Anthony Vetro
    Location: 201 Broadway, 8th floor, Cambridge, MA
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    • Snacks, demos, science: On Thursday 11/30, Mitsubishi Electric Research Labs (MERL) will host an open house for graduate+ students interested in internships, post-docs, and research scientist positions. The event will be held from 4-6pm and will feature demos & short presentations in our main areas of research: algorithms, multimedia, electronics, communications, computer vision, speech processing, optimization, machine learning, data analytics, mechatronics, dynamics, control, and robotics. MERL is a high impact publication-oriented research lab with very extensive internship and university collaboration programs. Most internships lead to publication; many of our interns and staff have gone on to notable careers at MERL and in academia. Come mix with our researchers, see our state of the art technologies, and learn about our research opportunities. Dress code: casual, with resumes.

      Pre-registration for the event is strongly encouraged:

      Current internship and employment openings:
  •  NEWS   MERL presents 5 papers at ICIP 2017, Anthony Vetro serves as general co-chair
    Date: September 17, 2017 - September 20, 2017
    Where: Beijing, China
    MERL Contacts: Petros Boufounos; Robert Cohen; Chen Feng; Dehong Liu; Hassan Mansour; Huifang Sun; Yuichi Taguchi; Dong Tian; Anthony Vetro
    Research Areas: Multimedia, Computer Vision, Computational Geometry, Computational Sensing, Digital Video
    • MERL presented 5 papers at the IEEE International Conference on Image Processing (ICIP), which was held in Beijing, China from September 17-20, 2017. ICIP is a flagship conference of the IEEE Signal Processing Society and approximately 1300 people attended the event. Anthony Vetro served as General Co-chair for the conference.
  •  NEWS   MERL attends The Grace Hopper Celebration of Women in Computing
    Date: October 4, 2017 - October 6, 2017
    Where: Orange County Convention Center, Orlando, FL
    MERL Contacts: Esra Cansizoglu; Elizabeth Phillips; Jinyun Zhang
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Business Innovation
    • Every year, women technologists and the best minds in computing convene to highlight the contributions of women to computing. The Anita Borg Institute co-presents GHC with the Association of Computing Machinery (ACM).

      The conference results in collaborative proposals, networking and mentoring for our attendees. Conference presenters are leaders in their respective fields, representing industry, academia and government.
  •  NEWS   MERL's breakthrough speech separation technology featured in Mitsubishi Electric Corporation's Annual R&D Open House
    Date: May 24, 2017
    Where: Tokyo, Japan
    MERL Contacts: Bret Harsham; John Hershey; Jonathan Le Roux
    Research Areas: Multimedia, Speech & Audio
    • Mitsubishi Electric Corporation announced that it has created the world's first technology that separates in real time the simultaneous speech of multiple unknown speakers recorded with a single microphone. It's a key step towards building machines that can interact in noisy environments, in the same way that humans can have meaningful conversations in the presence of many other conversations. In tests, the simultaneous speeches of two and three people were separated with up to 90 and 80 percent accuracy, respectively. The novel technology, which was realized with Mitsubishi Electric's proprietary "Deep Clustering" method based on artificial intelligence (AI), is expected to contribute to more intelligible voice communications and more accurate automatic speech recognition. A characteristic feature of this approach is its versatility, in the sense that voices can be separated regardless of their language or the gender of the speakers. A live speech separation demonstration that took place on May 24 in Tokyo, Japan, was widely covered by the Japanese media, with reports by three of the main Japanese TV stations and multiple articles in print and online newspapers. The technology is based on recent research by MERL's Speech and Audio team.
      Mitsubishi Electric Corporation Press Release
      MERL Deep Clustering Demo

      Media Coverage:

      Fuji TV, News, "Minna no Mirai" (Japanese)
      The Nikkei (Japanese)
      Nikkei Technology Online (Japanese)
      Sankei Biz (Japanese)
      EE Times Japan (Japanese)
      ITpro (Japanese)
      Nikkan Sports (Japanese)
      Nikkan Kogyo Shimbun (Japanese)
      Dempa Shimbun (Japanese)
      Il Sole 24 Ore (Italian)
      IEEE Spectrum (English)
  •  EVENT   Society for Industrial and Applied Mathematics panel for students on careers in industry
    Date & Time: Monday, July 10, 2017; 6:15 PM - 7:15 PM
    Speaker: Andrew Knyazev and other panelists, MERL
    MERL Contacts: Joseph Katz; Andrew Knyazev
    Location: David Lawrence Convention Center, Pittsburgh PA
    Research Areas: Electronics & Communications, Multimedia, Data Analytics, Computer Vision, Mechatronics, Algorithms, Advanced Control Systems, Computational Geometry, Computational Photography, Computational Sensing, Decision Optimization, Digital Video, Dynamical Systems, Information Security, Machine Learning, Optical Communications & Devices, Power & RF, Predictive Modeling, Wireless Communications & Signal Processing
    • Andrew Knyazev accepted an invitation to represent MERL at the panel on Student Careers in Business, Industry and Government at the annual meeting of the Society for Industrial and Applied Mathematics (SIAM).

      The format consists of a five minute introduction by each of the panelists covering their background and an overview of the mathematical and computational challenges at their organization. The introductions will be followed by questions from the students.
  •  EVENT   MERL to participate in Xconomy Forum on AI & Robotics
    Date & Time: Tuesday, March 28, 2017; 1:30 - 5:30PM
    MERL Contacts: John Hershey; Joseph Katz; Daniel Nikovski; Alan Sullivan; Jay Thornton; Anthony Vetro; Richard (Dick) Waters; Jinyun Zhang
    Location: Google (355 Main St., 5th Floor, Cambridge MA)
    Research Areas: Multimedia, Data Analytics, Computer Vision, Mechatronics
    • How will AI and robotics reshape the economy and create new opportunities (and challenges) across industries? Who are the hottest companies that will compete with the likes of Google, Amazon, and Uber to create the future? And what are New England innovators doing to strengthen the local cluster and help lead the national discussion?

      MERL will be participating in Xconomy's third annual conference on AI and robotics in Boston to address these questions. MERL President & CEO, Dick Waters, will be on a panel discussing the status and future of self-driving vehicles. Lab members will also be on hand demonstrate and discuss recent advances AI and robotics technology.

      The agenda and registration for the event can be found online:
  •  TALK   Generative Model-Based Text-to-Speech Synthesis
    Date & Time: Wednesday, February 1, 2017; 12:00-13:00
    Speaker: Dr. Heiga ZEN, Google
    MERL Host: Chiori Hori
    Research Areas: Multimedia, Speech & Audio
    • Recent progress in generative modeling has improved the naturalness of synthesized speech significantly. In this talk I will summarize these generative model-based approaches for speech synthesis such as WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems.
      See for further details.
  •  NEWS   MERL to present 10 papers at ICASSP 2017
    Date: March 5, 2017 - March 9, 2017
    Where: New Orleans
    MERL Contacts: Petros Boufounos; Chen Feng; John Hershey; Takaaki Hori; Jonathan Le Roux; Dehong Liu; Hassan Mansour; Dong Tian; Anthony Vetro; Ye Wang
    Research Areas: Multimedia, Computer Vision, Computational Geometry, Computational Sensing, Digital Video, Information Security, Speech & Audio
    • MERL researchers will presented 10 papers at the upcoming IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), to be held in New Orleans from March 5-9, 2017. Topics to be presented include recent advances in speech recognition and audio processing; graph signal processing; computational imaging; and privacy-preserving data analysis.

      ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
  •  AWARD   APSIPA recognizes Anthony Vetro as a 2016 Industrial Distinguished Leader
    Date: October 15, 2016
    Awarded to: Anthony Vetro
    MERL Contact: Anthony Vetro
    Research Area: Multimedia
    • Anthony Vetro was recognized by APSIPA (Asia-Pacific Signal and Information Processing Association) as a 2016 Industrial Distinguished Leader. This distinction is reserved for selected APSIPA members with extraordinary accomplishments in any of the fields related to APSIPA scope. A list of past recipients can be found online:
  •  TALK   High-Dimensional Analysis of Stochastic Optimization Algorithms for Estimation and Learning
    Date & Time: Tuesday, December 13, 2016; Noon
    Speaker: Yue M. Lu, John A. Paulson School of Engineering and Applied Sciences, Harvard University
    MERL Host: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing, Machine Learning
    • In this talk, we will present a framework for analyzing, in the high-dimensional limit, the exact dynamics of several stochastic optimization algorithms that arise in signal and information processing. For concreteness, we consider two prototypical problems: sparse principal component analysis and regularized linear regression (e.g. LASSO). For each case, we show that the time-varying estimates given by the algorithms will converge weakly to a deterministic "limiting process" in the high-dimensional limit. Moreover, this limiting process can be characterized as the unique solution of a nonlinear PDE, and it provides exact information regarding the asymptotic performance of the algorithms. For example, performance metrics such as the MSE, the cosine similarity and the misclassification rate in sparse support recovery can all be obtained by examining the deterministic limiting process. A steady-state analysis of the nonlinear PDE also reveals interesting phase transition phenomena related to the performance of the algorithms. Although our analysis is asymptotic in nature, numerical simulations show that the theoretical predictions are accurate for moderate signal dimensions.
  •  TALK   Collaborative dictionary learning from big, distributed data
    Date & Time: Friday, December 2, 2016; 11:00 AM
    Speaker: Prof. Waheed Bajwa, Rutgers University
    MERL Host: Petros Boufounos
    Research Areas: Multimedia, Computational Sensing
    • While distributed information processing has a rich history, relatively less attention has been paid to the problem of collaborative learning of nonlinear geometric structures underlying data distributed across sites that are connected to each other in an arbitrary topology. In this talk, we discuss this problem in the context of collaborative dictionary learning from big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have massive local data and they are interested in collaboratively learning a low-dimensional geometric structure underlying these data. In contrast to some of the previous works on subspace-based data representations, we focus on the geometric structure of a union of subspaces (UoS). In this regard, we propose a distributed algorithm, termed cloud K-SVD, for collaborative learning of a UoS structure underlying distributed data of interest. The goal of cloud K-SVD is to learn an overcomplete dictionary at each individual site such that every sample in the distributed data can be represented through a small number of atoms of the learned dictionary. Cloud K-SVD accomplishes this goal without requiring communication of individual data samples between different sites. In this talk, we also theoretically characterize deviations of the dictionaries learned at individual sites by cloud K-SVD from a centralized solution. Finally, we numerically illustrate the efficacy of cloud K-SVD in the context of supervised training of nonlinear classsifiers from distributed, labaled training data.
  •  EVENT   MERL organizes Workshop on End-to-End Speech and Audio Processing at NIPS 2016
    Date: Saturday, December 10, 2016
    MERL Contact: John Hershey
    Location: Centre Convencions Internacional Barcelona, Barcelona SPAIN
    Research Areas: Multimedia, Machine Learning, Speech & Audio
    • MERL researcher John Hershey, is organizing a Workshop on End-to-End Speech and Audio Processing, on behalf of MERL's Speech and Audio team, and in collaboration with Philemon Brakel of the University of Montreal. The workshop focuses on recent advances to end-to-end deep learning methods to address alignment and structured prediction problems that naturally arise in speech and audio processing. The all day workshop takes place on Saturday, December 10th at NIPS 2016, in Barcelona, Spain.
  •  EVENT   John Hershey to present tutorial at the 2016 IEEE SLT Workshop
    Date: Tuesday, December 13, 2016
    Speaker: John Hershey, MERL
    MERL Contacts: John Hershey; Jonathan Le Roux
    Location: 2016 IEEE Spoken Language Technology Workshop, San Diego, California
    Research Areas: Multimedia, Machine Learning, Speech & Audio
    • MERL researcher John Hershey presents an invited tutorial at the 2016 IEEE Workshop on Spoken Language Technology, in San Diego, California. The topic, "developing novel deep neural network architectures from probabilistic models" stems from MERL work with collaborators Jonathan Le Roux and Shinji Watanabe, on a principled framework that seeks to improve our understanding of deep neural networks, and draws inspiration for new types of deep network from the arsenal of principles and tools developed over the years for conventional probabilistic models. The tutorial covers a range of parallel ideas in the literature that have formed a recent trend, as well as their application to speech and language.