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查看斯高帕斯 (Scopus) 概要
冀 泰石
教授
人工智慧技術與應用碩士學位學程
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
1647
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。
372
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。
65
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
(82)
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
Speech Enhancement
86%
Spectro-temporal Modulation
85%
Speech Intelligibility
46%
Spectral-temporal Feature
43%
Head-related Transfer Function
41%
Modulation Characteristics
36%
Neural Network-based
31%
Deep Neural Network
31%
Singing Voice Separation
30%
Voice Conversion
30%
Personalization
30%
Learning-based
30%
Modulation Filtering
23%
Auditory Model
23%
Tinnitus
22%
Frequency Modulation
21%
Noisy Conditions
20%
Multi-resolution
20%
Wiener Filter
20%
Cochlear Implant
20%
Anthropometric Parameters
20%
Convolutional Neural Network
20%
Acoustic Hearing
20%
Time-frequency Units
20%
Singing Melody Extraction
20%
Ensemble Learning
20%
Singing Voice
17%
Mandarin
16%
Hearing Impaired
16%
Diffuse Noise
15%
Interaural Coherence
15%
Binary Mask
15%
Estimation Algorithms
15%
Monaural Speech Separation
15%
Reverberation
14%
Magnitude Response
14%
Vocal
13%
Spatial Cues
13%
Speaker Identification
13%
Noise Suppression
13%
Separation Algorithm
13%
Binaural Noise Reduction
13%
Cue-based
13%
Timbre
13%
Spectrogram
13%
Human Hearing
12%
Speech Signal
12%
Objective Speech Quality
12%
Hearing Model
12%
Conversion System
11%
Computer Science
Speech Enhancement
100%
Experimental Result
85%
Neural Network
61%
Deep Neural Network
60%
Convolutional Neural Network
49%
Transfer Function
46%
Audio Signal Processing
35%
Speaker Identification
35%
Deep Learning Method
34%
Noise Suppression
23%
Recognition Rate
23%
Frequency Modulation
21%
Optical Spectrum
21%
Speech Emotion Recognition
20%
Assistive Devices
20%
Temporal Dynamic
20%
Quality Measure
20%
Pitch Extraction
20%
Speech Analysis
20%
Music Information Retrieval
20%
Ensemble Learning
20%
Dereverberation
20%
Robust Speech Recognition
20%
Fast Fourier Transform
18%
Speech Recognition
17%
Test Condition
15%
Performance Evaluation
15%
Convolution
15%
Mel-Frequency Cepstral Coefficients
15%
Neural Network Model
14%
Magnitude Response
14%
Time Difference
12%
Noisy Environment
11%
Systems Performance
11%
Spectral Distortion
11%
Cepstral Coefficient
11%
Image Segmentation
10%
nonnegative matrix factorization
10%
Estimation Algorithm
10%
Fully Convolutional Network
10%
Generative Adversarial Networks
10%
Domain Feature
10%
Multiobjective
10%
Generative Model
10%
Multitask Learning
10%
Objective Model
10%
Regression Method
10%
Online Computation
10%
Echo Cancellation
10%
Frequency Resolution
10%
