Results 71 to 80 of about 275,421 (290)
Speech production knowledge in automatic speech recognition [PDF]
The Journal of the Acoustical Society of America, 2007 Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds, and numerous models, speech production knowledge is almost totally ignored in current mainstream approaches to automatic speech recognition.
King, Simon +5 more
openaire +4 more sources
Molecular Oncology, EarlyView.This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani +14 more
wiley +1 more source
Synopsis on Arabic speech recognition
Ain Shams Engineering Journal, 2022 With the advancement and increased usage of intelligible smart devices, researchers have an intensified interest in the field of large-vocabulary speaker-independent continuous speech recognition.
Fawaz S. Al-Anzi, Dia AbuZeina
doaj
Landscape of BRAF transcript variants in human cancer
Molecular Oncology, EarlyView.We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda +5 more
wiley +1 more source
Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition
EURASIP Journal on Advances in Signal Processing, 2009 Automatic speech recognition performance degrades significantly when speech is affected by environmental noise. Nowadays, the major challenge is to achieve good robustness in adverse noisy conditions so that automatic speech recognizers can be used in ...
Bagher BabaAli +2 more
doaj +1 more source
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from Speech [PDF]
arXiv, 2018 Current approaches to speech emotion recognition focus on speech features that can capture the emotional content of a speech signal. Mel Frequency Cepstral Coefficients (MFCCs) are one of the most commonly used representations for audio speech recognition and classification.
arxiv
Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren +16 more
wiley +1 more source
Jurnal Nasional Teknik Elektro, 2018 The accuracy of speech recognition system decreases when used on a noisy speech. Therefore, the speech recognition system needs to be supported by a speech enhancement method.
Fitrilina Fitrilina +2 more
doaj
End-to-End Amdo-Tibetan Speech Recognition Based on Knowledge Transfer
IEEE Access, 2020 The end-to-end speech recognition technology solves the problem that each component is independent and models cannot be jointly optimized in the traditional speech recognition model.
Xiaojun Zhu, Heming Huang
doaj +1 more source
Speech Synthesis as Augmentation for Low-Resource ASR [PDF]
arXiv, 2020 Speech synthesis might hold the key to low-resource speech recognition. Data augmentation techniques have become an essential part of modern speech recognition training. Yet, they are simple, naive, and rarely reflect real-world conditions. Meanwhile, speech synthesis techniques have been rapidly getting closer to the goal of achieving human-like ...
arxiv