Audio and Acoustic Signal Processing

Alibaba iDST Voice++ 

Job Position:  Audio Fingerprint, audio watermark, Speaker Identification

Job Location: Seattle/Beijing/Hangzhou

About us:

iDST(Institute of Data Science and Technology) is Alibaba’s most mysterious department and is dedicated to the challenging questions that “Other departments do not want to do, can not do”.  We are Voice++, one of the youngest teams in the department of iDST-speech. We are dedicated to acoustic data processing including paralinguistic information detection (such as speaker, accent, age, gender, emotion identification), audio fingerprinting, audio watermark, audio data processing of video data, and so on. Based on the Alibaba’s e-business platform, we are committed to providing most competitive audio insight analysis service. We enable hundreds of millions of commercial and social interactions among our users, between consumers and merchants, and among businesses every day though speech. The strong demand ensures enough growing space for each member in our start-up stage.

Skills you’ll need:

·       A willingness to be a better you on a day by day basis;

·       No degree requirement;

·       Background in Engineering, Computer Science or a related field is necessary;

·       R&D experience in speaker/emotion/language ID or audio fingerprinting/watermark is a plus;

·       Speech system performance improvements under adverse condition is a plus;

·       Experience in audio copyright protection, multimedia is a plus;

·       Familiarity with ASR, DNN toolkits is a plus;

·       Familiarity with C++, script language;

·       Solid research publication is a plus;

·       Deep learning experience is a plus;

·       Others skill sets you think might meet our vision.
 

offer++:  What we can provides besides official offer:

·       Passion and growing space from our start-up stage

·       Opportunity of processing big data from millions of people

·       Opportunity of self-upgrading: patent, publication and conference is strongly encouraged

·       Opportunity of working with top talents in the world

• Exciting bonus

Send cover letter and resume to:   careers@sensoryinc.com

Please copy and paste the following on the “SUBJECT” line:   IEEE Signal Processing Society - Sr. Acoustic DSP Engineer (JC: 17-1_PC-21 )

Job Code:          17-1_PC-21

Position Title :  Sr. Acoustic DSP Engineer

Job Location:   Santa Clara, CA USA

Note:                  This is not a "telecommute" position.

Job Summary:

Sensory is seeking a polished, proactive and senior level Acoustic (Audio) DSP Engineer with extensive experience in audio processing for varied acoustic environments to work in algorithm development such as AEC, microphone array beam-forming, Noise Reduction, gain control, etc. (...test and benchmark the algorithms in different environments including the sound booth)

Primary Responsibilities:

• DSP design and tuning for acoustic echo cancellation, beam-forming, etc. for active call quality, as well as best-in-class enhancement of speech recognition in noise.
• Support customers with transducer design, selection, placement and turning; and acoustic enclosure co-design.
• Learns and understands existing proprietary voice recognition algorithms in depth.
• Implements voice processing algorithms and related software on hardware platforms.
• Defines and implements simulation scripts for validating, evaluating, and improving the performance of algorithms.
• “Ports” existing technology software to various platforms including DSPs.
• Develops and maintains in-house and customer tools to support the application of Sensory’s voice processing.

Primary Skills/ Speciality / Technical Skills

• Experience with AEC, microphone array beam-forming, Noise reduction algorithms.
• Experience with audio signal processing algorithm implementation.
• Experience with algorithm optimization and code optimization.
• Experience with acoustic measurements and noise control, including using HATS and BT headsets
• Experience designing benchmark tests to evaluate products and algorithms in this area.
• Experience with C, Matlab and some other scripting language.

Education / Key Qualifications / Number of Years in Experience in Field/Career Required or Preferred:

• MS in EE or CS.
• 5+ years of experience in turning and deploying acoustic echo cancellation, beam-forming and noise reduction for mobile, TV, car and conferencing use cases in high volume products.
• Broad and deep experience in signal processing for audio and speech.
• 5+ years of experience programming embedded “C”, demonstrated by a primary programming role in one or more fully-released products.
• Solid knowledge of analytic techniques, statistics, mathematical modeling.
• Ability to develop software from existing code, detailed specification, or general conceptual outline.
• Familiarity with embedded systems hardware, ADCs, DACs, ability to read schematics.

Research Fellow in Perceptual Audio Evaluation

http://jobs.surrey.ac.uk/012217

University of Surrey, UK

Salary:  GBP 31,076 to GBP 38,183 per annum

Closing Date: 14 March 2017

Reference: 012217

Applications are invited for a Research Fellow in Perceptual Audio Evaluation to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" from 1 April 2017 to 31 January 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation.

The candidate will be responsible for perceptually evaluating the results of musical audio separation and repurposing. This will involve preparing and conducting subjective experiments, analysing the results, and comparing these with extant metrics and perceptual models. The candidate will make use of the resulting data to either refine or develop new metrics or perceptual models to aid the development and evaluation of musical source separation and repurposing algorithms.

The successful applicant will have undertaken doctoral level research in experimental/applied psychoacoustics or similar and will have expertise in psychoacoustics, with an understanding of factors likely to be related to source separation and audio repurposing. Skills in and experience of the following are essential: the design and execution of listening-based subjective experiments; and statistical analysis and modeling. Also essential are strong writing skills for audiences of varying levels of technical expertise, and the ability to work independently and manage time effectively. A background in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage. Specific skills in source separation and audio repurposing and the development of related perceptual models will also be an advantage, as will academic publications in a relevant area.

The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this post will be jointly supervised by Dr Russell Mason in the Institute of Sound Recording (IoSR).

CVSSP is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over £12M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.

Informal enquires are welcome, to: Dr Russell Mason (r.mason@surrey.ac.uk) or Prof Mark Plumbley (m.plumbley@surrey.ac.uk).

For more information on the job and how to apply, visit http://jobs.surrey.ac.uk/012217

Job Opening – Darmstadt (Frankfurt area)/Germany, December 2016

AGT is all about striving for the best Analytics for the Internet of Things!

Our teams are professional and fearless – our working environment is energized, sweeping and demands use of cutting edge technology. We are never behind. Out of the box thinking and creativity in everything we do. Being always in search of new ideas turning into great new features and products, we would love to meet and welcome team members joining the ride and driving us forward. We are looking for a

Senior Data Scientists (Audio Analytics)

AGT is passionate about creating a unique analytics engine to answer highly valuable business questions across various industries. Our focus is on innovative and new technologies for Internet of Things, specifically for sports and entertainment. We provide the opportunity to drive ideas from conception to products which are deployed in the market. You will be given the opportunity to work directly with our customers and partners to solve their data-driven problems and needs where you will be working with large as well as unique and complex data sets from traditional data sources and from the rapidly growing world of IoT sensors.

With your PhD in machine learning or signal processing you will join a larger team of like-minded and talented people, eager to squeeze out informational value from various data sources and explore new ways. Your contributions will end up in exciting products in the domain of sports and entertainment and you will be given the opportunity to work on a variety of tasks and develop your skills in many area ranging from new and exciting analytics technologies to collaboration with agile development teams, Product Management, Marketing and Sales.

We will provide you with an environment fostering the autonomy of data scientists and a good mix between coding, conceptualization and customer engagement.

The Centre for Acoustic Signal Processing Research (CASPR) at the Section for Signal and Information Processing, Department of Electronic Systems, Aalborg University, Denmark, will have a number of fully funded PhD stipends available in 2017. According to the Shanghai/ARWU World Rank 2016, Aalborg University is no. 7 in the world within the field of Electronic and Electrical Engineering. The Department of Electronic Systems at Aalborg University is internationally recognized in particular for its contributions within Information and Communication Technology (ICT).

CASPR is a newly founded centre with focus on conducting research related to advanced statistical signal processing solutions for assistive listening devices. The scientific scope of the PhD stipends will include (but is not limited to): signal processing, machine learning, information and communication theory with applications to wireless exchange of information between listening devices and other external devices, pattern recognition and data mining in body worn sensor data, and perception-based statistical signal processing.

We are looking for highly motivated, independent, and outstanding students that desire to do a successful 3-year PhD programme at Aalborg University. The ideal candidates must have strong expertise in one or more of the following disciplines; statistical signal processing, auditory perception, machine learning, information theory, or estimation theory. Good English verbal and written skills are a must. Excellent undergraduate and master degree grades are desired.

PhD positions in Denmark are fully funded, i.e. no tuition fees, and come with a salary. The salary is subject to a pay grade system based on prior working experience since completing your undergraduate degree. The yearly gross salary is in the range 41.500 – 50.100 Euros.

You may obtain further information about the PhD stipends from Associate Professor Jan Østergaard (jo@es.aau.dk), Associate Professor Zheng-Hua Tan (zt@es.aau.dk), or Professor Jesper Jensen (jje@es.aau.dk), CASPR, Aalborg University, concerning the scientific aspects of the stipends. You may also visit caspr.es.aau.dk for more information about the centre and open PhD vacancies.

Two Ph.D. research positions are available in the KU Leuven Electrical Engineering Department (ESAT), Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, in the frame of a research project on audio signal processing in ad-hoc wireless transducer array networks. The research activities include: (PhD position 1) The design and evaluation of digital signal processing (DSP) algorithms for acoustic echo and feedback cancellation, active noise control, and sound field control in ad-hoc wireless transducer array networks. (PhD position 2) The design and evaluation of a generic framework for audio signal processing algorithms interaction and tuning in multi-task ad-hoc wireless transducer array networks. The research will be carried out in an international team of signal processing researchers at ESAT-STADIUS. The standard duration of a Ph.D. research project at KU Leuven is 4 years. RESEARCH ENVIRONMENT The STADIUS research division of the Electrical Engineering (ESAT) Department at KU Leuven joins over 100 researchers. One subgroup within STADIUS (20 researchers supervised by Prof. Marc Moonen and Prof. Toon van Waterschoot) performs research on digital signal processing with application to speech and audio processing and digital communications. The focus of the speech and audio processing research is on acoustic signal enhancement, acoustic signal and system modeling, audio analysis, and audio reproduction. Applications range from hearing aids and cochlear implants to hands-free communications, public address and acoustic surveillance systems. http://www.esat.kuleuven.be/stadius RESPONSIBILITIES The Ph.D. researcher will - carry out research on the design and evaluation of audio signal processing algorithms for ad-hoc wireless transducer array networks; - monitor the work plan of the research project and make sure that milestones are achieved and deliverables are finalized in a timely manner; - actively participate in internal research and project meetings; - enroll in a doctoral training program at the Arenberg Doctoral School, and adhere to the doctoral school’s coursework requirements for Ph.D. researchers; - assist in the supervision of Master thesis students; - perform a limited amount of teaching activities (max. 2h per week). PROFILE - Candidates must hold a Master degree in Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in matrix algebra and statistics) and have taken specialized courses in at least two of the following disciplines: digital signal processing, speech processing, audio signal processing, acoustics, audio engineering. - Research experience (e.g. through Master thesis work or research internships) in digital (audio) signal processing is considered a strong asset. - Experience with Matlab programming is required, and experience with other programming languages (C/C++/Python/...) is considered beneficial. - Excellent proficiency in the English language is required, as well as good communication skills, both oral and written. OFFER - A high-level and exciting international research environment. - A Ph.D. title from one of Europe's top universities (after approximately 4 years of successful research). - A thorough scientific education in the frame of a doctoral training program. - A competitive salary or tax-free PhD grant. - The possibility to participate in local as well as international courses, workshops and conferences. - A one-year position with the possibility of extension for a second, third, and fourth year. INTERESTED? For more information please contact Prof. Marc Moonen and Prof. Toon van Waterschoot, tel.: +32 16 32 17 88, e-mail: marc.moonen@esat.kuleuven.be, toon.vanwaterschoot@esat.kuleuven.be. Applications are to be submitted no later than July 31, 2016, via the online application tool (see link). Please submit: 1) a motivation letter with a statement of skills and research interests 2) a curriculum vitae, including transcripts and possibly GRE/TOEFL results 3) the names and contact information of 1-2 references KU Leuven carries out an equal opportunity and diversity policy.

The Faculty of Engineering and the Fraunhofer-Gesellschaft invite applications for a

W1 Junior Professorship for Virtual Reality

at the Department of Electrical, Electronic, and Communication Engineering and International Audio Laboratories Erlangen to be filled by the earliest possible starting date for an initial period of three years. Depending on successful evaluation the appointment will be extended for another three years.

The appointed professor will take on a leadership function at the Fraunhofer Institute for Integrated Circuits IIS.

The successful candidate is expected to represent the field of virtual reality (VR) / augmented reality (AR) in the context of audio signal processing adequately in research and teaching. Their work may focus on audio/multimedia topics in gaming, manufacturing, perceptual and interaction aspects, and/or recording / production of VR / AR content.

The successful candidate is expected to contribute to international degree programmes at the Faculty.

For further information on the position and how to apply please see
https://www.fau.de/universitaet/stellen-praktika-und-jobs/ausgeschriebene-professuren/

Please submit your complete application documents (CV, list of publications, list of lectures and courses taught, copies of certificates and degrees, list of third-party ­funding) online at www.berufungen.fau.de by 31.08.2016. If you have any questions please contact tf-dekanat@fau.de.

Position Description:

About Us: Hearing is believing! Earlens Corporation is a privately held medical device company committed to providing hearing impaired patients a hearing solution that is designed to change the current standard of care for sound performance. We've developed the breakthrough Earlens Contact Hearing device which is the world's first hearing device to use light to transmit sound... Can you hear that?

Responsibilities: Lead design and development of DSP Firmware used across the EarLens product portfolio; Develop Matlab simulation models, theory of operation and implementation of DSP algorithm in Assembly for hearing aid applications; Analyze and Implement optimized signal processing algorithms supporting speech processing strategies; Work with existing firmware and software to make performance improvements and resolve design errors; Interpret test results and suggest performance improvement recommendations; Work on real-time systems under hardware constraints; Prototype algorithm iterations using simulation tools and measure/optimize performance.

Requirements: Bachelor Degree in Engineering and/or in Computer Science required, MS desired; Minimum of 7 years hearing-aid medical device and/or consumer electronics product development experience; Experience of audio DSP algorithm development, implementation (Matlab, C and DSP assembly), and performance testing; Proficient in Matlab, Simulink, Audio Precision. Knowledge of feedback suppression, noise reduction, feedback cancellation is desirable; Excellent verbal and writing skills, leadership skills and collaborative orientation; Strong audio DSP and digital filter design background; Understanding of ARM application processor and programming; Familiarity with acoustic testing environment; Architecture Knowledge: Audio Codecs, I2S, I2C, SPI, ARM architecture, DSP Architectures (Fixed Point).

Bonus Points: Creative, out-of-the box thinkers who enjoy tinkering!! 

Position Description: The School of Engineering at the University of Vermont (UVM) invites applications for a tenure-track faculty position in Electrical Engineering at the Assistant Professor or, for exceptional candidates, Associate Professor level for a Fall 2016 start date. The school is seeking outstanding individuals whose research focuses on signal processing, control systems, sensing and measurement, cyber-physical systems, or communication systems. Examples of desired areas of application include, but are not limited to, power and energy, robotics, big data, computer vision, the internet of things, and biomedical engineering. Candidates are expected to hold a doctoral degree in electrical engineering or a closely related field and will be expected to contribute broadly to undergraduate and graduate education within the electrical engineering program, particularly in the area of signals and systems. The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through their research, teaching and/or service. Applicants are requested to include in their cover letter information about how they will further this goal. The new faculty member is expected to maintain an active program of externally-funded research and graduate student advising. The School of Engineering values interdisciplinary research and innovative approaches to engineering education. On-campus opportunities for collaborative research exist with the Vermont Complex Systems Center, the Vermont Advanced Computing Center, and the College of Medicine. The School has strong ties to Mathematics, Statistics, and Computer Science and encourages collaboration. The University is located in Burlington, Vermont, which is consistently rated as one of the best small cities in the United States. The University of Vermont is an Equal Opportunity/Affirmative Action Employer. Applications from women, veterans, individuals with disabilities and people from diverse racial, ethnic, and cultural backgrounds are encouraged. Applications must be submitted via the UVM website uvmjobs.com (position number 006216). The application package should include a curriculum vitae, the names and contact information of at least three references, a statement describing current and future research activities and directions, and a statement describing teaching interests and teaching philosophy. A background check will be conducted on the final candidate. Screening of applications will begin on December 15, 2015 and continue until the position is filled.