A single microphone noise reduction algorithm based on the detection and reconstruction of spectro-temporal features

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Proceedings of the Royal Society A

• Publication date

  2015-12-08

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1098/rspa.2015.0309
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Neural and Computational Mechanisms of Reward and Aversion

  2017cited by this paper
• Modulation Wiener filter for improving speech intelligibility

  2015cited by this paper
• A Regression Approach to Speech Enhancement Based on Deep Neural Networks

  2015cited by this paper
• Neural processing of natural sounds

  2014cited by this paper
• Speech Enhancement for Listeners With Hearing Loss Based on a Model for Vowel Coding in the Auditory Midbrain

  2014cited by this paper
• Discriminatively trained recurrent neural networks for single-channel speech separation

  2014cited by this paper
• The role of auditory spectro-temporal modulation filtering and the decision metric for speech intelligibility prediction.

  2014cited by this paper
• Single-channel speech separation with memory-enhanced recurrent neural networks

  2014cited by this paper
• Mechanisms of noise robust representation of speech in primary auditory cortex

  2014cited by this paper
• Expectation in perceptual decision making: neural and computational mechanisms

  2014cited by this paper
• Deep learning for monaural speech separation

  2014cited by this paper
• Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification

  2014cited by this paper
• Mechanisms underlying selective neuronal tracking of attended speech at a "cocktail party".

  2013cited by this paper
• Speech enhancement based on deep denoising autoencoder

  2013cited by this paper
• Constructing Noise-Invariant Representations of Sound in the Auditory Pathway

  2013cited by this paper
• Ideal ratio mask estimation using deep neural networks for robust speech recognition

  2013cited by this paper
• Whatever next? Predictive brains, situated agents, and the future of cognitive science.

  2013cited by this paper
• Noise-invariant Neurons in the Avian Auditory Cortex: Hearing the Song in Noise

  2013cited by this paper
• An algorithm to improve speech recognition in noise for hearing-impaired listeners.

  2013cited by this paper
• Sparse and background-invariant coding of vocalizations in auditory scenes.

  2013cited by this paper
• Adaptive Temporal Encoding Leads to a Background-Insensitive Cortical Representation of Speech

  2013cited by this paper
• Temporal context in speech processing and attentional stream selection: a behavioral and neural perspective.

  2012cited by this paper
• Crossing Over…Markov Meets Mendel

  2012cited by this paper
• Sparse Codes for Speech Predict Spectrotemporal Receptive Fields in the Inferior Colliculus

  2012cited by this paper
• Selective cortical representation of attended speaker in multi-talker speech perception

  2012cited by this paper
• Emergence of neural encoding of auditory objects while listening to competing speakers

  2012cited by this paper
• Hearing Is Believing: Biologically Inspired Methods for Robust Automatic Speech Recognition

  2012cited by this paper
• An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech

  2011cited by this paper
• Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.

  2011cited by this paper
• Language- and Talker-dependent Variation in Global Features of Native and Non-native Speech

  2011cited by this paper
• Hierarchical representations in the auditory cortex.

  2011cited by this paper
• Temporal coherence and attention in auditory scene analysis.

  2011cited by this paper
• A review of research on speech intelligibility and correlations with acoustic features

  2011cited by this paper
• Melting of Peridotite to 140 Gigapascals

  2010cited by this paper
• Understanding the difficulty of training deep feedforward neural networks

  2010cited by this paper
• Neural Modulation Tuning Characteristics Scale to Efficiently Encode Natural Sound Statistics

  2010cited by this paper
• The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms

  2010cited by this paper
• Hearing the song in noise

  2010cited by this paper
• A Contemporary Review of Hearing Aids

  2010cited by this paper
• Behavioral / Systems / Cognitive Functional Groups in the Avian Auditory System

  2009cited by this paper
• The Modulation Transfer Function for Speech Intelligibility

  2009cited by this paper
• Low-frequency neuronal oscillations as instruments of sensory selection.

  2009cited by this paper
• Use of supportive context by younger and older adult listeners: Balancing bottom-up and top-down information processing

  2008cited by this paper
• Evaluation of Objective Quality Measures for Speech Enhancement

  2008influential reference
• The concept of signal-to-noise ratio in the modulation domain and speech intelligibility.

  2008cited by this paper
• Organizing principles of spectro-temporal encoding in the avian primary auditory area field L.

  2008cited by this paper
• Phoneme representation and classification in primary auditory cortex.

  2008cited by this paper
• AUDITORY SCENE ANALYSIS

  2008cited by this paper
• Top-down knowledge supports the retrieval of lexical information from degraded speech.

  2007cited by this paper
• Efficient auditory coding

  2006cited by this paper
• A Fast Learning Algorithm for Deep Belief Nets

  2006cited by this paper
• Stimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex

  2005cited by this paper
• Speech intelligibility and spatial release from masking in young children.

  2005cited by this paper
• Speech enhancement based on filtering the spectrotemporal modulations

  2005cited by this paper
• Tuning for spectro-temporal modulations as a mechanism for auditory discrimination of natural sounds

  2005cited by this paper
• Hearing Aids and Hearing Impairment

  2004cited by this paper
• A spectro-temporal modulation index (STMI) for assessment of speech intelligibility

  2003cited by this paper
• Naturalistic Auditory Contrast Improves Spectrotemporal Coding in the Cat Inferior Colliculus

  2003cited by this paper
• Modulation spectra of natural sounds and ethological theories of auditory processing.

  2003cited by this paper
• Handbook of Neural Networks for Speech Processing

  2003cited by this paper
• EURASIP Journal on Applied Signal Processing 2003:7, 659–667 c ○ 2003 Hindawi Publishing Corporation Sparse Spectrotemporal Coding of Sounds

  2002cited by this paper
• Spectrotemporal receptive fields in the lemniscal auditory thalamus and cortex.

  2002cited by this paper
• Spectral Subtraction Based on Minimum Statistics

  2001cited by this paper
• Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs

  2001cited by this paper
• Noise power spectral density estimation based on optimal smoothing and minimum statistics

  2001cited by this paper
• Spectral-Temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds

  2000cited by this paper
• An effective quality evaluation protocol for speech enhancement algorithms

  1998influential reference
• Objective measures of speech quality

  1995cited by this paper
• Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise.

  1994cited by this paper
• An international comparison of long‐term average speech spectra

  1994cited by this paper
• A model for context effects in speech recognition.

  1993cited by this paper
• Speech enhancement using a minimum mean-square error log-spectral amplitude estimator

  1984influential reference
• A computational model of filtering, detection, and compression in the cochlea

  1982cited by this paper
• Prediction of perceived phonetic distance from critical-band spectra: A first step

  1982cited by this paper
• Spectro-temporal characterization of auditory neurons: redundant or necessary.

  1981cited by this paper
• Speech enhancement using a soft-decision noise suppression filter

  1980cited by this paper
• Parametric coding of speech spectra

  1980cited by this paper
• Suppression of acoustic noise in speech using spectral subtraction

  1979cited by this paper
• Development of a test of speech intelligibility in noise using sentence materials with controlled word predictability.

  1977cited by this paper
• Perception of the speech code.

  1967cited by this paper
• On the Properties of Voiceless Fricative Consonants

  1961cited by this paper
• The intelligibility of speech as a function of the context of the test materials.

  1951cited by this paper
• Handbook of Neural Networks for Speech Processing (first Edition) Pp. 000{000 Networks for Speech Enhancement

  year unknowncited by this paper
• Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator

  year unknowncited by this paper

• Using auditory texture statistics for domain-neutral removal of background sounds

  2023cites this paper
• Introductory Review on All-Optical Machine Learning Leap in Photonic Integrated Circuits

  2022cites this paper
• Ideal ratio mask estimation using supervised DNN approach for target speech signal enhancement

  2021cites this paper
• SmartScope: An AI-Powered Digital Auscultation Device To Detect Cardiopulmonary Diseases

  2021cites this paper
• A Survey on Probabilistic Models in Human Perception and Machines

  2020cites this paper
• Primer on silicon neuromorphic photonic processors: architecture and compiler

  2020cites this paper
• Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review

  2020cites this paper
• Auditory Cortex: Separating Signal from Noise

  2019cites this paper
• Single-Microphone Speech Enhancement and Separation Using Deep Learning

  2018cites this paper
• Role of Deep Neural Network in Speech Enhancement: A Review

  2018cites this paper
• Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems

  2017cites this paper
• Neuromorphic photonic networks using silicon photonic weight banks

  2016cites this paper
• Neuromorphic Silicon Photonics

  2016cites this paper
• Sensors and AI Techniques for Situational Awareness in Autonomous Ships

  year unknowncites this paper