Waveform based speech coding using nonlinear predictive techniques: a systematic review
Speech coding is a technique that compresses speech signals into a smaller digital form,
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
Bts-e: Audio deepfake detection using breathing-talking-silence encoder
Voice phishing (vishing) is increasingly popular due to the development of speech synthesis
technology. In particular, the use of deep learning to generate an arbitrary-content audio clip …
technology. In particular, the use of deep learning to generate an arbitrary-content audio clip …
Deep speech based end-to-end automated speech recognition (asr) for indian-english accents
P Dubey, B Shah - arXiv preprint arXiv:2204.00977, 2022 - arxiv.org
Automated Speech Recognition (ASR) is an interdisciplinary application of computer
science and linguistics that enable us to derive the transcription from the uttered speech …
science and linguistics that enable us to derive the transcription from the uttered speech …
Detecting deception from gaze and speech using a multimodal attention LSTM-based framework
A Gallardo-Antolín, JM Montero - Applied Sciences, 2021 - mdpi.com
The automatic detection of deceptive behaviors has recently attracted the attention of the
research community due to the variety of areas where it can play a crucial role, such as …
research community due to the variety of areas where it can play a crucial role, such as …
[HTML][HTML] On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification
A Gallardo-Antolín, JM Montero - Neurocomputing, 2021 - Elsevier
Speech intelligibility can be affected by multiple factors, such as noisy environments,
channel distortions or physiological issues. In this work, we deal with the problem of …
channel distortions or physiological issues. In this work, we deal with the problem of …
Comparing machine learning and PLSDA algorithms for durian pulp classification using inline NIR spectra
The aim of this study was to evaluate and compare the performance of multivariate
classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) …
classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) …
Prediction of Marshall stability and marshall flow of asphalt pavements using supervised machine learning algorithms
The conventional method for determining the Marshall Stability (MS) and Marshall Flow (MF)
of asphalt pavements entails laborious, time-consuming, and expensive laboratory …
of asphalt pavements entails laborious, time-consuming, and expensive laboratory …
SafeMove: monitoring seniors with mild cognitive impairments using deep learning and location prediction
A Al-Molegi, A Martínez-Ballesté - Neural Computing and Applications, 2022 - Springer
Due to society aging, age-related issues such as mild cognitive impairments (MCI) and
dementia are attracting the attention of health professionals, scientists and governments …
dementia are attracting the attention of health professionals, scientists and governments …
Cognitive hexagon-controlled intelligent speech interaction system
H Chaurasiya - IEEE Transactions on Cognitive and …, 2022 - ieeexplore.ieee.org
Several intelligent speech interaction (ISI) systems have emerged over the past four
decades that have served the human community. The research papers show that these …
decades that have served the human community. The research papers show that these …
SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach
The circuitry and pathways in the brains of humans and other species have long inspired
researchers and system designers to develop accurate and efficient systems capable of …
researchers and system designers to develop accurate and efficient systems capable of …