Mark R. Saddler
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View article: A deep learning framework for understanding cochlear implants
A deep learning framework for understanding cochlear implants Open
Sensory prostheses replace dysfunctional sensory organs with electrical stimulation but currently fail to restore normal perception. Outcomes may be limited by stimulation strategies, neural degeneration, or suboptimal decoding by the brai…
View article: Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing
Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing Open
Neurons encode information in the timing of their spikes in addition to their firing rates. Spike timing is particularly precise in the auditory nerve, where action potentials phase lock to sound with sub-millisecond precision, but its beh…
View article: Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing
Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing Open
Neurons encode information in the timing of their spikes in addition to their firing rates. Spike timing is particularly precise in the auditory nerve, where action potentials phase lock to sound with sub-millisecond precision, but its beh…
View article: Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception
Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception Open
Perception is thought to be shaped by the environments for which organisms are optimized. These influences are difficult to test in biological organisms but may be revealed by machine perceptual systems optimized under different conditions…
View article: Speech Denoising with Auditory Models
Speech Denoising with Auditory Models Open
Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform. The development of high-performing neural network sound recognition systems has raised the possibility of usi…
View article: Deep Network Perceptual Losses for Speech Denoising.
Deep Network Perceptual Losses for Speech Denoising. Open
Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform. Here we investigate whether deep feature representations learned for audio classification tasks can be used t…
View article: Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception
Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception Open
Perception is thought to be shaped by the environments for which organisms are optimized. These influences are difficult to test in biological organisms but may be revealed by machine perceptual systems optimized under different conditions…
View article: Characterizing Chilean blue whale vocalizations with DTAGs: a test of using tag accelerometers for caller identification
Characterizing Chilean blue whale vocalizations with DTAGs: a test of using tag accelerometers for caller identification Open
Vocal behavior of blue whales (Balaenoptera musculus) in the Gulf of Corcovado, Chile, was analyzed using both audio and accelerometer data from digital acoustic recording tags (DTAGs). Over the course of three austral summers (2014, 2015,…
View article: DTAG studies of blue whales (Balaenoptera musculus) in the Gulf of Corcovado, Chile
DTAG studies of blue whales (Balaenoptera musculus) in the Gulf of Corcovado, Chile Open
This investigation set out to obtain data on the ecology, foraging and acoustic behavior of Chilean blue whales (Balaenoptera musculus) in the Gulf of Corcovado, which is an important feeding ground. We deployed 17 suction cup attached sou…