The neural encoding of sound is the representation of auditory sensation and perception in the nervous system. The complexities of contemporary neuroscience...

used in phonetics and phonology to characterize speech sounds (usually consonants). Speech sounds can be described as either voiceless (otherwise known...

expression of the desired message is created. Formulation includes grammatical encoding, morpho-phonological encoding, and phonetic encoding. Grammatical...

speech sounds via the interaction of different physiological structures. Generally, articulatory phonetics is concerned with the transformation of aerodynamic...

produced in the mind of the listener) and objective measures (physical properties of the sound wave and physiological characteristics of articulation that...

generally done with a codec. Neural encoding - the way in which information is represented in neurons. Memory encoding - the process of converting sensations...

eardrum to move. The ear transforms this movement into neural signals that the brain registers as sound. Acoustic waveforms are records that measure these...

WMT English-French dataset, consisting of 36 million sentences. Both datasets were encoded with byte-pair encoding. Hardware The models were trained using...

depending on the subfield of phonetics. Among some phoneticians, phonation is the process by which the vocal folds produce certain sounds through quasi-periodic...

points of view. Neural encoding refers to the map from stimulus to response. The main focus is to understand how neurons respond to a wide variety of stimuli...

two speech sounds in a discrimination test, but brain responses may reveal sensitivity to these differences. Methods used to measure neural responses to...

phonetics is the branch of phonetics concerned with the hearing of speech sounds and with speech perception. It thus entails the study of the relationships...

Acoustic phonetics is a subfield of phonetics, which deals with acoustic aspects of speech sounds. Acoustic phonetics investigates time domain features...

Neural adaptation or sensory adaptation is a gradual decrease over time in the responsiveness of the sensory system to a constant stimulus. It is usually...

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...

The source–filter model represents speech as a combination of a sound source, such as the vocal cords, and a linear acoustic filter, the vocal tract. While...

during semantic encoding conditions compared to nonsemantic encoding conditions regardless of the difficulty of the nonsemantic encoding task presented...

artificial neural network to increase fluency and accuracy in Google Translate. The neural network consisted of two main blocks, an encoder and a decoder...

more general sound recognition. Transcription software List of speech recognition software Speech recognition software for Linux AI boom Neural machine translation...

the perception of speech at the sublexical level. However, the ultimate goal of these studies is presumably to understand the neural processes supporting...

replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living...

the positional and token encodings separately throughout the attention mechanism. Instead of combining the positional encoding ( x p o s i t i o n {\displaystyle...

two of the three adjacent pixels, it is not noise. A noisy bit-plane will have 49% to 51% pixels that are noise. As an example, in PCM sound encoding the...

Neural facilitation, also known as paired-pulse facilitation (PPF), is a phenomenon in neuroscience in which postsynaptic potentials (PSPs) (EPPs, EPSPs...

A15's transistor count of 15 billion. It includes an improved neural processing unit (NPU) with 16 cores known as the "Apple Neural Engine", a new image...

Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing...

Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression...

evaluate: the role of neural phase-locking in encoding of complex sounds in normally hearing and hearing impaired subjects, encoding of voice pitch, binaural...

to target specific neural circuits in the treatment of addiction disorders in humans through the administration of opsin encoding polynucleotides into...

implements a neural network and novel signal processing to improve performance over its predecessor. Satin is designed to deliver good sound quality despite...