Icassp 2021

Yamamoto, E. Song, M. Hwang, and J. Hwang, R.

The ICASSP conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website. In augmented reality applications, where room geometries and material properties are not readily available, it is desirable to get a representation of the sound field in a room from a limited set of available room impulse response measurements. In this paper, we propose a novel method for 2D interpolation of room modes from a sparse set of RIR measurements that are non-uniformly sampled within a space. We first obtain the mode parameters of a measured room.

Icassp 2021

A plurality of the papers, however, concentrate on the core technology of automatic speech recognition ASR , or converting an acoustic speech signal into text:. Two of the papers address language or code switching , a more complicated version of ASR in which the speech recognizer must also determine which of several possible languages is being spoken:. Such paralinguistic signals can be useful for a voice agent trying to determine how to interpret the raw text. Several papers address other extensions of ASR , such as speaker diarization , or tracking which of several speakers issues each utterance; inverse text normalization , or converting the raw ASR output into a format useful to downstream applications; and acoustic event classification , or recognizing sounds other than human voices:. Speech enhancement , or removing noise and echo from the speech signal, has been a prominent topic at ICASSP since the conference began in All of the preceding research topics have implications for voice services like Alexa, but Amazon has a range of other products and services that rely on audio-signal processing. Another paper investigates the topic of singing voice separation , or separating vocal tracks from instrumental tracks in song recordings:. One paper investigates federated learning , a distributed-learning technique in which multiple servers, each with a different, local store of training data, collectively build a machine learning model without exchanging data. The other presents a new loss function for training classification models on synthetic data created by transforming real data — for instance, training a sound classification model with samples that have noise added to them artificially. Conference registrants may submit questions to the panelists online. Research areas.

They will be customer-centric and will communicate scientific approaches icassp 2021 findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions.

The technology we use, and even rely on, in our everyday lives —computers, radios, video, cell phones — is enabled by signal processing. Learn More ». Inside Signal Processing Newsletter 4. SPS Resource Center 5. Discounts on conferences and publications 7.

While it is possible to simulate how sound waves physically propagate, scatter and diffract in an environment, this requires significant computational resources. In many cases, it is possible, and indeed desirable, to simplify the simulation and rendering of room acoustics by leveraging limitations of human auditory perception. This tutorial will provide an overview of the available classes of room acoustics models with a focus on models with low computational requirements that are particularly suitable for XR applications. Description: Images, videos, and audios that are created or manipulated by AI algorithms, in particular, deep neural networks DNNs , are a recent twist to the disconcerting problem of online disinformation. The AI-based fake contents, hereafter referred to as the DeepFakes, range from realistic images generated or edited with the generative adversarial network GAN models, to face-swapping videos created with auto-encoder network models the origin of the namesake , and indistinguishable human voices created with recursive neural network models. The escalated concerns over the potential impacts of the DeepFakes have spawned rapid developments on the detection of DeepFakes in recent years, with promising performance reported on large-scale evaluation datasets. This tutorial will cover the fundamentals in the generation, detection, and other counter-technologies of DeepFakes and also provide the audience a comprehensive overview of the state-of-the-arts in these areas. Description: Global optimization is concerned with obtaining the solution of nonconvex optimization problems.

Icassp 2021

The review process is being conducted entirely online. To make the review process easy for the reviewers, and to assure that the paper submissions will be readable through the online review system, we ask that authors submit paper documents that are formatted according to the Paper Kit instructions included here. Papers may be no longer than 5 pages, including all text, figures, and references, and the 5th page may contain only references. Accepted papers MUST be presented at the conference by one of the authors.

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In the field of audio source separation, LINE submitted a paper proposing a new method that combined iterative source steering ISS —an audio source separation method that does not utilize deep learning—with a deep learning-based estimation method for sound source models. Archive Website Link:. When it comes to basic research, LINE has placed machine learning at the center while focusing on research areas such as speech, language, and image processing. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Machine learning. Spatial and Multichannel Audio. Research areas. Room Acoustics and Acoustic System Modeling. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Two of the papers address language or code switching , a more complicated version of ASR in which the speech recognizer must also determine which of several possible languages is being spoken:.

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R, SAS, Matlab, etc. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. What is Signal Processing? Read more about Recurrent Phase Reconstruction Using Estimated Phase Derivatives from Deep Neural Networks Log in to post comments This paper presents a deep neural network DNN -based system for phase reconstruction of speech signals solely from their magnitude spectrograms. Going forward, LINE will continue to forge ahead in developing businesses and boosting service value to further expand its growth and vast potential as a communication infrastructure. Signal and System Modeling, Representation and Estimation. A day in the life Here at AWS, we embrace our differences. Society News. Acoustic analysis and dataset of transitions between coupled rooms. GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. Another paper investigates the topic of singing voice separation , or separating vocal tracks from instrumental tracks in song recordings:.