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Showing 1 to 20 of 44 for “"speech enhancement"”.
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Model-Based Speech Enhancement
Abstract A method of speech enhancement is developed that reconstructs clean speech from a set of acoustic features using a harmonic plus noise model of speech. This is a significant departure from traditional filtering-based methods of speech enhancement. A major challenge with this approach is to …
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Bayesian algorithms for speech enhancement
… Background noise can deteriorate the quality of speech transmitted through such devices, but speech enhancement algorithms can ameliorate this degradation to some extent. The development of speech enhancement algorithms that improve the quality of noisy speech is the aim of this thesis, which …
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Speech enhancement using multisensory cooperative computing
… investigates novel approaches for audio-visual speech enhancement (AVSE) through biologically inspired architectures, lightweight multimodal learning, and hybrid classical–deep frameworks. It advances three complementary themes of the speech enhancement problem. First, Multisensory Cooperative …
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Speech enhancement for real-time applications
Segmental exemplar-based speech enhancement algorithms are promising for real-world applications as they can function well without noise training, meaning they can easily generalize to real-world applications. They are, however, typically slow due to needing to search through a corpus that is …
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Speech Enhancement Using Speech Synthesis Techniques
<p>Traditional speech enhancement systems reduce noise by modifying the noisy signal to make it more like a clean signal, which suffers from two problems: under-suppression of noise and over-suppression of speech. These problems create distortions in enhanced speech and hurt the quality of the …
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Speech enhancement using deep dilated CNN
… deep learning has achieved great success in speech enhancement. However, there are two major limitations regarding existing works. First, the Bayesian framework is not adopted in many such deep-learning-based algorithms. In particular, the prior distribution for speech in the Bayesian …
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A psychoacoustically motivated speech enhancement system
A new method is introduced to perform enhancement of speech degraded by acoustic noise using the psychoacoustic property of masking. The goal of this algorithm is to preserve the natural quality of the noise while keeping the speech perceptually intact. Distortion masking principles based on prior …
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Speech enhancement with spectral magnitude side information
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Multi-channel multi-modal speech enhancement and separation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Speech Enhancement Methods Based on CASA Incorporating Spectral Correlation
… analysis (CASA) has shown a great potential for speech enhancement compared to some statistical model-based methods. A challenge for CASA is how to estimate binary mask or ratio mask effectively in each time-frequency (T-F) unit. In this thesis, four speech enhancement methods with binary mask or …
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Speech enhancement by modeling of stationary time-frequency regions
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Unsupervised Learning Algorithm for Noise Suppression and Speech Enhancement Applications
… require to enhance and distinguish the (clean) speech signal from the recorded noisy signal (that is contaminated by interference and background noise). The enhanced speech signal is then analyzed locally or in cloud to extract the command. This speech enhancement task may effectively be …
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Toward More Intelligible Simultaneous Multi-channel Speech Enhancement and Recognition
<p>Traditional single-channel speech enhancement and separation methods focus on enhancing the target speech signal by suppressing the noise and interfering speech signal. The methods suffer from nonlinear distortion brought by the algorithm, which hurts the intelligibility of the speech and also …
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Speech enhancement : identification and modeling of stationary time-frequency regions
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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A modular approach to speech enhancement with an application to speech coding
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Using a low-bit rate speech enhancement variable post-filter as a speech recognition system pre-filter to improve robustness to GSM speech
Performance of speech recognition systems degrades when they are used to recognize speech that has been transmitted through GS1 (Global System for Mobile Communications) voice communication channels (GSM speech). This degradation is mainly due to GSM speech coding and GSM channel noise on speech …
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Assessing the Quality of Synthetic Speech when using Enhanced Speech as Training Data
Both speech synthesis and speech enhancement are well researched fields, but their interaction remains under-explored. In particular, the effectiveness of using enhanced speech to train a speech synthesis model is still relatively unknown. This thesis investigates the effects of using enhanced …
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Neural Enhancement Strategies for Robust Speech Processing
In real-world scenarios, speech signals are often contaminated with environmental noises, and reverberation, which degrades speech quality and intelligibility. Lately, the development of deep learning algorithms has marked milestones in speech- based research fields e.g. speech recognition, spoken …
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Deep generative models for speech editing
… for generating and modifying natural-sounding speech in various speech processing tasks such as speech synthesis, speech enhancement, and voice conversion. There are two ways that the generative models can help in naturalness for speech processing. The first way is to regularize the speech …
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