Results 41 to 50 of about 598 (156)
Ambient Sound Provides Supervision for Visual Learning
The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings. In this work, we show that ambient sounds can be used as a supervisory signal for learning visual models.
Freeman, William T. +4 more
core +1 more source
Spatio-temporal Learning with Arrays of Analog Nanosynapses
Emerging nanodevices such as resistive memories are being considered for hardware realizations of a variety of artificial neural networks (ANNs), including highly promising online variants of the learning approaches known as reservoir computing (RC) and ...
Bennett, Christopher H. +2 more
core +1 more source
PITCH ESTIMATION FRAMEWORK FOR SPEECH SEGREGATION USING COCHLEAGRAM MORPHING
Computational auditory scene analysis (CASA) has significant role in speech segregation from monaural audio mixtures and generally a measure for performance of speech recognition systems. Pitch estimation has a substantial role in performance of CASA systems.
openaire +1 more source
Context-dependent environmental sound monitoring using SOM coupled with LEGION [PDF]
Environmental sound measurement networks are increasingly applied for monitoring noise pollution in an urban context. Intelligent measurement nodes offer the opportunity to perform advanced analysis of environmental sound, but trade-offs between cost and
Botteldooren, Dick +5 more
core +1 more source
A biologically inspired recurrent neural network for sound source recognition incorporating auditory attention [PDF]
In this paper, a human-mimicking model for sound source recognition is presented. It consists of an artificial neural network with three neuron layers (input, middle and output) that are connected by feedback connections between the output and middle ...
Boes, Michiel +3 more
core +2 more sources
Mapping tonotopic organization in human temporal cortex: representational similarity analysis in EMEG source space. [PDF]
A wide variety of evidence, from neurophysiology, neuroanatomy, and imaging studies in humans and animals, suggests that human auditory cortex is in part tonotopically organized.
Elisabeth eFonteneau +5 more
core +2 more sources
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
Feature learning with raw-waveform CLDNNs for Voice Activity Detection [PDF]
Voice Activity Detection (VAD) is an important preprocessing step in any state-of-the-art speech recognition system. Choosing the right set of features and model architecture can be challenging and is an active area of research.
Parada, Carolina +3 more
core +1 more source
Crystallinity‐controlled volatility tuning of ZrO2 memristor for physical reservoir computing
Crystallinity‐controlled ZrO2‐based memristor, in contrast to its amorphous counterpart, enables superior memory performance with localized conductive filaments along low‐energy pathways. This configuration promotes a steep switching slope, high resistance state, and forming‐free characteristics.
Dae Kyu Lee +13 more
wiley +1 more source

