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查看斯高帕斯 (Scopus) 概要
冀 泰石
教授
電機工程學系
神經調控醫療電子系統研究中心
https://orcid.org/0000-0002-0584-8399
h-index
h10-index
h5-index
1452
引文
14
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
318
引文
11
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
71
引文
5
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
1999 …
2025
每年研究成果
概覽
指紋
網路
計畫
(16)
研究成果
(77)
類似的個人檔案
(6)
指紋
查看啟用 Tai-Shih Chi 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Spectro-temporal Modulation
100%
Speech Enhancement
72%
Spectrogram
56%
Neural Network
56%
Speech Intelligibility
51%
Spectro-temporal
42%
Auditory Model
42%
Multi-resolution
37%
Singing Voice Separation
35%
Modulation Characteristics
29%
Singing Melody Extraction
28%
Voice Conversion
28%
Spectral Modulation
24%
Frequency Modulation
22%
Cochlear Implant
21%
Modulation Filters
21%
Spectral-spatial Analysis
20%
Speaker Identification
20%
Convolutional Neural Network
19%
Mandarin
19%
Fourier
19%
Deep Neural Network
19%
Head-related Transfer Function
18%
Speech Signal
17%
Acoustic Hearing
16%
Time-frequency Units
16%
Wiener Filter
15%
Diffuse Noise
15%
Acoustics
15%
Tinnitus
15%
Acoustic Scene
15%
Sound Source
14%
Acoustic Signal
14%
Audio Spectrogram
14%
Noisy Conditions
14%
Diffuse Noise Field
14%
Directional Noise
14%
Voice Activity Detection
14%
Robust Speaker Identification
14%
Non-negative Matrix Factorization
14%
Speech Separation
14%
Mandarin Speech
14%
Speech Processing
14%
Modulation Sensitivity
14%
Bone-guided
14%
Fast Fourier Transform
14%
Hearing Assistive Device
14%
End-to-end Speech Recognition
14%
Personalization
14%
Dereverberation
14%
Engineering
Speech Enhancement
73%
Spectrogram
59%
Experimental Result
39%
Harmonics
39%
Simulation Result
23%
Frequency Modulation
22%
Deep Neural Network
20%
Reverberation
18%
Head-Related Transfer Function
18%
Sound Source
18%
Speech Signal
18%
Deep Learning Method
18%
Joints (Structural Components)
18%
Recognition Rate
18%
Binaural Hearing
17%
Directional
17%
Acoustic Feature
15%
Matrix Factorization
14%
Noise Field
14%
Chirp Signal
14%
Impulse Signal
14%
Quality Measure
14%
Multiscale
14%
Robust Speech Recognition
14%
Control System
14%
Recognition Model
14%
Objective Evaluation
13%
Convolutional Neural Network
12%
Filtration
12%
Metrics
12%
Crosscorrelation
11%
Two Dimensional
11%
Spectral Distortion
10%
Interaural Level Difference
10%
Interaural Time Difference
10%
Temporal Filtering
10%
Perception Model
10%
Detection Algorithm
10%
Test Condition
10%
Human Hearing
9%
Speaker Identification
9%
Single Channel
8%
Noisy Environment
8%
Frequency Axis
8%
Noise Performance
7%
down Process
7%
Fast Fourier Transform
7%
Decision Parameter
7%
Classification Algorithm
7%
Environmental Noise
7%
Computer Science
Speech Enhancement
55%
Experimental Result
51%
Neural Network
47%
Convolutional Neural Network
34%
Speaker Identification
27%
Deep Learning Method
25%
Speech Emotion Recognition
21%
Deep Neural Network
19%
Noise Suppression
15%
Assistive Devices
14%
Image Segmentation
14%
nonnegative matrix factorization
14%
Temporal Dynamic
14%
Estimation Algorithm
14%
Quality Measure
14%
Recognition Rate
14%
Transfer Function
14%
Fully Convolutional Network
14%
Fast Fourier Transform
13%
Time Difference
13%
Audio Signal Processing
10%
Speech Recognition
10%
Acoustic Signal
10%
Test Condition
10%
Baseline Model
10%
Noisy Environment
8%
Frequency Modulation
8%
Systems Performance
8%
Cepstral Coefficient
7%
Noisy Condition
7%
Generative Adversarial Networks
7%
Noise Performance
7%
Domain Feature
7%
Multiobjective
7%
Frequency Content
7%
Generative Model
7%
Multitask Learning
7%
Objective Model
7%
Segmentation Model
7%
Scene Change Detection
7%
Evaluation Metric
7%
Regression Method
7%
Online Computation
7%
Echo Cancellation
7%
Objective Measure
7%
Analytical Process
7%
Software Tuning
7%
de-noising
7%
Subjective Assessment
7%
Quality Assessment
7%
