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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Audio Source Separation"”.
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Phase difference and tensor factorization models for audio source separation
Made available in DSpace on 2017-03-01T15:46:01Z (GMT). No. of bitstreams: 2 TRAA-DISSERTATION-2016.pdf: 12461339 bytes, checksum: aeab068ca641be012f3b6c8b1f19d354 (MD5) LICENSE.txt: 4210 bytes, checksum: 63ac2ac06dfd739a5099ea28ac00e136 (MD5) Previous issue date: 2016-10-10
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Exploiting spatial and spectral information for audio source separation and speaker diarization
The goal of multichannel audio source separation is to produce high quality separated audio signals, observing mixtures of these signals. The difficulty of tackling the problem comes from not only the source propagation through noisy and echoing environments, but also overlapped source signals. …
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Combined-channel instantaneous frequency analysis for audio source separation based on comodulation
… of interest and to block out competing sound sources. Individuals with hearing impairments, on the other hand, often experience great difficulty in noisy environments. The goal of our research is to develop novel signal processing methods inspired by neural auditory processing that can improve …
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Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Generation
… An evaluation of current techniques in source separation, such as matrix demixing methods (Independent Component Analysis, Independent Vector Analysis), and masking methods (Ideal Ratio Mask, Ideal Binary Mask), amongst others, concluded that Time-Frequency masking of the noisy signal …
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Audio-Visual Scene Analysis With Application in Sports Video
… the thesis presents our work on ""single-channel audio source separation"" using generative probabilistic models. The approach can be potentially very useful as a pre-processing step for the key audio ""objects"" detection."
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Multichannel source separation and tracking with phase differences by random sample consensus
Blind audio source separation (BASS) is a fascinating problem that has been tackled from many different angles. The use case of interest in this thesis is that of multiple moving and simultaneously-active speakers in a reverberant room. This is a common situation, for example, in social gatherings. …
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Generative modeling of sequential data
… models, and show their validity on unsupervised source separation examples. -We experimentally show that using a convolutional neural network architecture provides performance boost over time agnostic methods such as non-negative matrix factorization, and auto-encoders. -We experimentally show …
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High-resolution sinusoidal analysis for resolving harmonic collisions in music audio signal processing
… considered an additive combination of multiple sources, such as musical instruments or voice. If the musical sources are pitched instruments, the spectra they produce are predominantly harmonic, and are thus well suited to an additive sinusoidal model. However, due to resolution limits inherent …
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Efficient audio-visual representations for reasoning and synthesis tasks
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms