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Self-Organizing Neural Network Architecture for Auditory and Speech Perceptionwith Applications to Acoustic and other Temporal Prediction Problems

机译：用于听觉和语音感知的自组织神经网络结构及其在声学和其他时间预测问题中的应用

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摘要

This project is developing autonomous neural network models for the real-timeperception and production of acoustic and speech signals. The models have disclosed a common mechanism of nonlinear resonance that attentively reorganizes and groups acoustic data while suppressing unexpected noise. The SPINET pitch model transforms acoustic input into a spatial map of pitch whose properties simulate the key pitch data. SPINET was embedded into an ARTSTREAM model for auditory scene analysis that separates multiple sound sources from each other. The model groups frequency components based on pitch and spatial location cues into different streams. The model simulates psychophysical grouping data, such as frequency grouping across noise or ear of origin. These resonant streams input to an ARTPHONE model for variable-rate speech categorization. Computer simulations quantitatively generate experimentally observed category boundary shifts for VC-CV pairs, including why the interval to hear a double (VC1-C%V) stop is 150 msec longer than that to hear two different stops (VC1-C2V). This model uses resonant feedback between list categories and an automatically gain-controlled working memory. (AN).

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作者
Grossberg, S.;
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年度 1995
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总页数 31
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Neural nets; Auditory signals; Auditory perception; Mathematical models; Computerized simulation; Spatial distribution; Real time; Learning machines; Parallel processing; Nonlinear systems; Feedback; Pattern recognition; Artificial intelligence; Noise red;

机译：神经网络;听觉信号;听觉感知;数学模型;计算机模拟;空间分布;实时;学习机器;并行处理;非线性系统;反馈;模式识别;人工智能;噪声红;

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1. Classification of Restlessness Level by Deep Learning of Visual Geometry Group Convolution Neural Network with Acoustic Speech and Visual Face Sensor Data for Smart Care Applications [J] . Ing-Jr Ding, Nai-Wei Zheng Sensors and materials . 2020,第7期

机译：通过声学语音和视觉脸部传感器数据对视觉几何集团卷积神经网络深度学习的躁动水平分类
2. A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware [J] . Mohit Shah, Sairam Arunachalam, Jingcheng Wang, Journal of VLSI signal processing systems for signal, image, and video technology . 2018,第5期

机译：资源受限的硬件上用于语音应用的定点神经网络体系结构
3. A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application [J] . VO M.-H. Advances in Electrical and Computer Engineering . 2019,第2期

机译：基于多层神经网络的对角加权二元忆阻器交叉开关架构，在语音识别应用中具有更高的准确率
4. Auditory-Inspired End-to-End Speech Emotion Recognition Using 3D Convolutional Recurrent Neural Networks Based on Spectral-Temporal Representation [C] . Zhichao Peng, Zhi Zhu, Masashi Unoki, IEEE International Conference on Multimedia and Expo . 2018

机译：基于谱-时态表示的3D卷积递归神经网络的听觉启发式端到端语音情感识别
5. Neural networks for learning and prediction with applications to remote sensing and speech perception. [D] . Gjaja, Marin N. 1997

机译：用于学习和预测的神经网络，并应用于遥感和语音感知。
6. A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network [O] . Khaled Ben Khalifa, Ahmed Ghazi Blaiech, Mohamed Hédi Bedoui 2019

机译：自组织地图神经网络的新型硬件收缩体系
7. Neural networks for pattern recognition with applications to acoustics and speech. [O] . Stephen Grossberg 1991

机译：用于应用于声学和语音的模式识别的神经网络。
8. Self-Organizing Neural Network Architecture for Auditory and Speech Perceptionwith Applications to Acoustic and Other Temporal Prediction Problems [R] . Grossberg, S., Cohen, M. 1994

机译：用于听觉和语音感知的自组织神经网络结构及其在声学和其他时间预测问题中的应用

Self-Organizing Neural Network Architecture for Auditory and Speech Perceptionwith Applications to Acoustic and other Temporal Prediction Problems

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