标题
Features and Always-On Wake-Up Detectors for Sparse Acoustic Event Detection
作者
关键词
-
出版物
Electronics
Volume 11, Issue 3, Pages 478
出版商
MDPI AG
发表日期
2022-02-07
DOI
10.3390/electronics11030478
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Next-Generation Internet of Things (IoT): Opportunities, Challenges, and Solutions
- (2021) Yousaf Bin Zikria et al. SENSORS
- Low-Power Sensor Interface with a Switched Inductor Frequency Selective Envelope Detector
- (2021) Marko Gazivoda et al. SENSORS
- A 148-nW Reconfigurable Event-Driven Intelligent Wake-Up System for AIoT Nodes Using an Asynchronous Pulse-Based Feature Extractor and a Convolutional Neural Network
- (2021) Zhixuan Wang et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- From Less Batteries to Battery-Less Alert Systems with Wide Power Adaptation down to nWs—Toward a Smarter, Greener World
- (2021) Massimo Alioto IEEE Design & Test
- Wireless Sensor Networks for Noise Measurement and Acoustic Event Recognitions in Urban Environments
- (2020) Liyan Luo et al. SENSORS
- A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS
- (2020) Weiwei Shan et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Design of an Always-On Deep Neural Network-Based 1-$\mu$ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction
- (2019) Minhao Yang et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring
- (2019) Philipp Mayer et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- An Acoustic Signal Processing Chip With 142-nW Voice Activity Detection Using Mixer-Based Sequential Frequency Scanning and Neural Network Classification
- (2019) Sechang Oh et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- A Low-Power CMOS Wireless Acoustic Sensing Platform for Remote Surveillance Applications
- (2019) Yong Wang et al. SENSORS
- A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing
- (2019) Philipp Mayer et al. Sustainable Computing-Informatics & Systems
- A Low-Power Speech Recognizer and Voice Activity Detector Using Deep Neural Networks
- (2018) Michael Price et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Always-On 12-nW Acoustic Sensing and Object Recognition Microsystem for Unattended Ground Sensor Nodes
- (2018) Seokhyeon Jeong et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- A 2.2 µW Cognitive Always-On Wake-Up Circuit for Event-Driven Duty-Cycling of IoT Sensor Nodes
- (2018) Giovanni Rovere et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Wireless Sensor Networks for Long-Term Monitoring of Urban Noise
- (2018) Courtney Peckens et al. SENSORS
- A low power mixed signal correlator for power efficient sound signature detection and template matching
- (2017) Mehdi Habibi et al. Sensor Review
- Asthmatic Wheeze Detection from Compressively Sensed Respiratory Sound Spectra
- (2017) Dinko Oletic et al. IEEE Journal of Biomedical and Health Informatics
- A 90 nm CMOS, Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection
- (2016) IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Energy-Efficient Respiratory Sounds Sensing for Personal Mobile Asthma Monitoring
- (2016) Dinko Oletic et al. IEEE SENSORS JOURNAL
- Self-Powered Wireless Sensor Applied to Gear Diagnosis Based on Acoustic Emission
- (2016) Miguel Delgado Prieto et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A Review of Physical and Perceptual Feature Extraction Techniques for Speech, Music and Environmental Sounds
- (2016) Francesc Alías et al. Applied Sciences-Basel
- Approaching the accuracy–cost conflict in embedded classification system design
- (2015) Ulf Jensen et al. PATTERN ANALYSIS AND APPLICATIONS
- A 2.3 nJ/Frame Voice Activity Detector-Based Audio Front-End for Context-Aware System-On-Chip Applications in 32-nm CMOS
- (2013) Arijit Raychowdhury et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Environmental Sound Recognition With Time–Frequency Audio Features
- (2009) Selina Chu et al. IEEE Transactions on Audio Speech and Language Processing
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started