Results 101 to 110 of about 7,706,916 (368)
speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition [PDF]
In recent years, the joint training of speech enhancement front-end and automatic speech recognition (ASR) back-end has been widely used to improve the robustness of ASR systems. Traditional joint training methods only use enhanced speech as input for the backend.
arxiv
Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez+3 more
wiley +1 more source
uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Models [PDF]
Speech enhancement aims to improve the quality of speech signals in terms of quality and intelligibility, and speech editing refers to the process of editing the speech according to specific user needs. In this paper, we propose a Unified Speech Enhancement and Editing (uSee) model with conditional diffusion models to handle various tasks at the same ...
arxiv
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha+6 more
wiley +1 more source
We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence.
Sørensen Karsten Vandborg+1 more
doaj +1 more source
Forward masking models have been used successfully in speech enhancement and audio coding. Presently, forward masking thresholds are estimated using simplified masking models which have been used for audio coding and speech enhancement applications.
T. S. Gunawan+2 more
doaj +1 more source
Exploring Speech Enhancement for Low-resource Speech Synthesis [PDF]
High-quality and intelligible speech is essential to text-to-speech (TTS) model training, however, obtaining high-quality data for low-resource languages is challenging and expensive. Applying speech enhancement on Automatic Speech Recognition (ASR) corpus mitigates the issue by augmenting the training data, while how the nonlinear speech distortion ...
arxiv
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld+7 more
wiley +1 more source
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement [PDF]
This paper investigates several aspects of training a RNN (recurrent neural network) that impact the objective and subjective quality of enhanced speech for real-time single-channel speech enhancement.
Yangyang Xia+5 more
semanticscholar +1 more source
Esophageal speeches modified by the Speech Enhancer Program® [PDF]
Esophageal speech appears to be the first choice of speech treatment for a laryngectomy. However, many laryngectomy people are unable to speak well. The aim of this study was to evaluate post-modified speech quality of Thai esophageal speakers using the Speech Enhancer Program®.
Panuthat Boonpramuk+1 more
openaire +3 more sources