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In this paper, we propose a method for intermediating multiple speakers' attributes and diversifying their voice characteristics in ``speaker generation,'' an emerging task that aims to synthesize a nonexistent speaker's naturally sounding…

Sound · Computer Science 2022-10-19 Aya Watanabe , Shinnosuke Takamichi , Yuki Saito , Detai Xin , Hiroshi Saruwatari

Non-interactive and linear experiences like cinema film offer high quality surround sound audio to enhance immersion, however the listener's experience is usually fixed to a single acoustic perspective. With the rise of virtual reality,…

Audio and Speech Processing · Electrical Eng. & Systems 2024-10-30 Lachlan Birnie , Thushara Abhayapala , Vladimir Tourbabin , Prasanga Samarasinghe

Sound generation and -interaction is highly complex, nonlinear and self-organized. Already 150 years ago Lord Rayleigh raised the following problem: Two nearby organ pipes of different fundamental frequencies sound together almost inaudibly…

Classical Physics · Physics 2009-09-10 Markus Abel , Karsten Ahnert , Steffen Bergweiler

Multi-resolution spectro-temporal features of a speech signal represent how the brain perceives sounds by tuning cortical cells to different spectral and temporal modulations. These features produce a higher dimensional representation of…

Audio and Speech Processing · Electrical Eng. & Systems 2022-06-28 Rahil Parikh , Nadee Seneviratne , Ganesh Sivaraman , Shihab Shamma , Carol Espy-Wilson

We explore active audio-visual separation for dynamic sound sources, where an embodied agent moves intelligently in a 3D environment to continuously isolate the time-varying audio stream being emitted by an object of interest. The agent…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Sagnik Majumder , Kristen Grauman

In order to protect the privacy of speech data, speaker anonymization aims for hiding the identity of a speaker by changing the voice in speech recordings. This typically comes with a privacy-utility trade-off between protection of…

Sound · Computer Science 2022-10-21 Sarina Meyer , Pascal Tilli , Pavel Denisov , Florian Lux , Julia Koch , Ngoc Thang Vu

Current generative models are able to generate high-quality artefacts but have been shown to struggle with compositional reasoning, which can be defined as the ability to generate complex structures from simpler elements. In this paper, we…

Machine Learning · Computer Science 2024-08-20 Giovanni Bindi , Philippe Esling

Sound is an essential sensing element for many organisms in nature, and multiple species have evolved organic structures that create complex acoustic scattering and dispersion phenomena to emit and perceive sound unambiguously. To date, it…

Sound · Computer Science 2024-08-28 Rasmus E. Christiansen , Ole Sigmund , Efren Fernandez-Grande

Hybrid aeroacoustic methods seek for computational efficiency and robust noise prediction. Using already existing aeroacoustic wave equations, we propose a general hybrid aeroacoustic method, based on compressible source data. The main…

Fluid Dynamics · Physics 2020-06-08 Stefan Schoder , Manfred Kaltenbacher

We present HAFM, a system that generates instrumental music audio to accompany input vocals. Given isolated singing voice, HAFM produces a coherent instrumental accompaniment that can be directly mixed with the input to create complete…

Sound · Computer Science 2026-04-14 Jian Zhu , Jianwei Cui , Shihao Chen , Yubang Zhang , Cheng Luo

An ideal music synthesizer should be both interactive and expressive, generating high-fidelity audio in realtime for arbitrary combinations of instruments and notes. Recent neural synthesizers have exhibited a tradeoff between…

We present AERO, a audio super-resolution model that processes speech and music signals in the spectral domain. AERO is based on an encoder-decoder architecture with U-Net like skip connections. We optimize the model using both time and…

Sound · Computer Science 2023-02-28 Moshe Mandel , Or Tal , Yossi Adi

A novel approach to improving the performances of confocal scanning imaging is proposed. We experimentally demonstrate its feasibility using acoustic waves. It relies on a new way to encode spatial information using the temporal dimension.…

A spatial active noise control (ANC) method based on the individual kernel interpolation of primary and secondary sound fields is proposed. Spatial ANC is aimed at cancelling unwanted primary noise within a continuous region by using…

Audio and Speech Processing · Electrical Eng. & Systems 2022-02-11 Kazuyuki Arikawa , Shoichi Koyama , Hiroshi Saruwatari

A new approach for the analysis of nonstationary signals is proposed, with a focus on audio applications. Following earlier contributions, nonstationarity is modeled via stationarity-breaking operators acting on Gaussian stationary random…

Audio and Speech Processing · Electrical Eng. & Systems 2018-08-24 Adrien Meynard , Bruno Torrésani

In this paper, we present a novel audio synthesizer, CAESynth, based on a conditional autoencoder. CAESynth synthesizes timbre in real-time by interpolating the reference sounds in their shared latent feature space, while controlling a…

Sound · Computer Science 2021-11-10 Aaron Valero Puche , Sukhan Lee

Recently, there has been great interest in the field of audio style transfer, where a stylized audio is generated by imposing the style of a reference audio on the content of a target audio. We improve on the current approaches which use…

Sound · Computer Science 2018-12-27 Dhruv Ramani , Samarjit Karmakar , Anirban Panda , Asad Ahmed , Pratham Tangri

We introduce a real-time, multichannel speech enhancement algorithm which maintains the spatial cues of stereo recordings including two speech sources. Recognizing that each source has unique spatial information, our method utilizes a…

Audio and Speech Processing · Electrical Eng. & Systems 2024-02-02 Masahito Togami , Jean-Marc Valin , Karim Helwani , Ritwik Giri , Umut Isik , Michael M. Goodwin

Acoustic holograms have promising applications in sound-field reconstruction, particle manipulation, ultrasonic haptics and therapy. This paper reports on the theoretical, numerical, and experimental investigation of multiplexed acoustic…

The state of the art in music source separation employs neural networks trained in a supervised fashion on multi-track databases to estimate the sources from a given mixture. With only few datasets available, often extensive data…

Machine Learning · Computer Science 2018-04-09 Daniel Stoller , Sebastian Ewert , Simon Dixon