Icassp 2021

Yamamoto, E. Song, M.

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. We derive a layer- wise recurrence without the assumptions of previous work, and show that it leads to a standard recurrence with modest modifications to reflect use of log-probabilities.

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. News and features. Code and datasets.

Read more about Slides for ICASSP paper on structure-aware alignment Log in to post comments The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music icassp 2021 processing, icassp 2021. Aiming to proactively continue basic research into AI tech and enhance value of current services.

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. Algorithms for such problems can mostly be categorized into outer approximation algorithms and branch and bound BB methods. This tutorial will focus on BB methods for continuous optimization and demonstrate that they are one of the most versatile tools in global optimization theory.

Icassp 2021

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Takamichi, H. 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:. US, MA, Boston. Conventional Parallel WaveGAN systems, which uses a single discriminator, have contended with poor quality issues when handling multi-speaker corpora due to limitations in the discriminator's expressiveness and learning hurdles. About Amazon. The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music signal processing. A day in the life Work with teammates to apply economic methods to business problems. News and features. LINE's basic research into speech, acoustics and signal processing focused on speech synthesis, audio source separation, and environmental sound recognition technologies At LINE, AI is positioned as one of the company's strategic businesses. Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. Such paralinguistic signals can be useful for a voice agent trying to determine how to interpret the raw text. A spoken-language-understanding system combines automatic speech recognition ASR and natural-language understanding NLU in a single model.

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.

In the field of speech, acoustics, and signal processing, the company has researched a fast and high-quality GPU speech synthesis technology called Parallel WaveGAN, audio source separation technology that aims to separate various sounds from one another and improve sound quality and recognition rates, and environmental sound recognition technology that uses a machine to automatically detect and identify diverse sounds in the surrounding environment. March Skip to main content. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement. 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. The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music signal processing. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. The technology we use, and even rely on, in our everyday lives —computers, radios, video, cell phones — is enabled by signal processing. Distinguished Lectures Learn from experts in signal processing.