Wei-Tyng Hong

23 papers Misc 5Journal 5Unranked 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
A ChannelWise weighting technique of slice-based Temporal Convolutional Network for noisy speech enhancement.
Comput. Speech Lang.
Wei-Tyng Hong, Kuldeep Singh Rana
2021 — conf
A Study on Speech Enhancement Using Deep Temporal Convolutional Neural Network.
ICCE-TW
Kuldeep Singh Rana, Li-Wen Chen, Li-Hsin Tang, Wei-Tyng Hong
2020 — conf
Feasibility analysis of dye color modeling in clothing industries with machine learning models.
ICCE-TW
Wei-Tyng Hong, Bubacarr Jallow, Po-En Chung
2016 — conf
A resource-constrained HCRF modeling for a large-scale speaker identification task.
GCCE
Wei-Tyng Hong
2015 Misc conf
HCRF-driven beamforming for reverberant speech recognition.
ICMLC
Wei-Tyng Hong
2014 Misc conf
Fast HMM-driven beamforming for robust speech recognition in reverberant environments.
ICMLC
Wei-Tyng Hong
2013 — conf
HCRF-based model compensation for noisy speech recognition.
ISCE
Wei-Tyng Hong
2013 J jnl
Minimum Classification Error Training of Hidden Conditional Random Fields for Speech and Speaker Recognition.
J. Inf. Sci. Eng.
Wei-Tyng Hong
2012 J jnl
Enhancement of blood vessels in retinal imaging using the nonsubsampled contourlet transform.
Multidimens. Syst. Signal Process.
Chien-Cheng Lee, Cheng-Yuan Shih, Shih-Kai Lee, Wei-Tyng Hong
2012 J jnl
HCRF-UBM approach for text-independent speaker identification.
Comput. Math. Appl.
Wei-Tyng Hong
2012 — conf
Robust Hierarchical Linear Model Comparison for End-of-Utterance Detection under Noisy Environments.
ISBAST
Rudolf B. Blazek, Wei-Tyng Hong
2011 — conf
Human-Centered Fingertip Mandarin Input System Using Single Camera.
MMM (2)
Chih-Chang Yu, Hsu-Yung Cheng, Bor-Shenn Jeng, Chien-Cheng Lee, Wei-Tyng Hong
2010 Misc conf
Speaker identification using Hidden Conditional Random Field-based speaker models.
ICMLC
Wei-Tyng Hong
2009 — conf
資源受限運算環境下華英混雜語音辨識系統 (Mandarin/English Mixed-Lingual Speech Recognition System on Resource-Constrained Platforms) [In Chinese].
ROCLING
Wei-Tyng Hong, Hong-Ci Chen, I-Bin Liao, Wern-Jun Wang
2003 — conf
A discriminative and robust training algorithm for noisy speech recognition.
ICASSP (1)
Wei-Tyng Hong
2002 Misc conf
An RNN-based channel classification for Mandarin speech recognition over GSM/PSTN transmission environments.
ICASSP
Wei-Tyng Hong
2002 — conf
An investigation on wireless speech recognition by data contamination and robust training techniques.
ISCSLP
Wei-Tyng Hong, Ke-Shiu Chen
2000 J jnl
A robust training algorithm for adverse speech recognition.
Speech Commun.
Wei-Tyng Hong, Sin-Horng Chen
1999 — conf
A prototype of Mandarin speech telephone number inquiry system.
EUROSPEECH
Peng-Ren Lu, Wei-Tyng Hong, Sheng-Lun Chiang, Yih-Ru Wang, Sin-Horng Chen
1999 — conf
A robust environment-effects suppression training algorithm for adverse Mandarin speech recognition.
EUROSPEECH
Wei-Tyng Hong, Sin-Horng Chen
1999 Misc conf
A segment-based C
ICASSP
Wei-Tyng Hong, Sin-Horng Chen
1998 — conf
A Robust Training Algorithm for Noisy Mandarin Speech Recognition.
ISCSLP
Wei-Tyng Hong, Sin-Horng Chen
1997 — conf
A robust RNN-based pre-classification for noisy Mandarin speech recognition.
EUROSPEECH
Wei-Tyng Hong, Sin-Horng Chen
redb/extractors/enum.py
← Index redb/extractors/enum.py python 
from enum import Enum


class Tag(Enum):
    BASIC_PROPERTIES = "basic_properties"
    DIEC = "detect_it_easy"
    CAPA = "capa"
    MALCONTENT = "malcontent"
    DECOMPILED = "decompiled"
    HASH = "hash"
    STRINGS = "strings"
    RELATED = "relatedness" # unused
    PE_FEATURES = "pe_features"
    PE_IMPORT = "pe_import"
    PE_OVERLAY = "pe_overlay"
    PE_SECTION = "pe_section"
    PE_RESOURCE = "pe_resource"
    PE_SIGNATURE = "pe_signature"
    PE_CERTIFICATE = "pe_certificate"
    PE_SIGNER = "pe_signer"
    PE_DOTNET = "pe_dotnet"
    PE_EMBEDDED_EXTRAS = "pe_embedded_extras"
    PE_INCONSISTENCY_TESTS = "pe_inconsistency_tests"
    DOTNET_INCONSISTENCY_TESTS = "dotnet_inconsistency_tests"
    YARA = "yara"
    # Mach-O
    MACHO_FEATURES = "macho_features"
    MACHO_IMPORT = "macho_import"
    MACHO_EXPORT = "macho_export"
    MACHO_DYLIB = "macho_dylib"
    MACHO_SEGMENT = "macho_segment"
    MACHO_SIGNATURE = "macho_signature"
    MACHO_CERTIFICATE = "macho_certificate"
    MACHO_ENTITLEMENT = "macho_entitlement"
    MACHO_UNIVERSAL = "macho_universal"
    MACHO_HASHES = "macho_hashes"
    # ELF
    ELF_FEATURES = "elf_features"
    ELF_IMPORT = "elf_import"
    ELF_EXPORT = "elf_export"
    ELF_SECTION = "elf_section"
    ELF_SEGMENT = "elf_segment"
    ELF_SYMBOL = "elf_symbol"
    ELF_RELOCATION = "elf_relocation"
    ELF_NOTE = "elf_note"
    ELF_DEPENDENCY = "elf_dependency"
    # APK
    APK_FEATURES = "apk_features"
    APK_MANIFEST = "apk_manifest"
    APK_PERMISSIONS = "apk_permissions"
    APK_SIGNATURE = "apk_signature"
    APK_DEX = "apk_dex"
    APK_RESOURCES = "apk_resources"
    APK_NATIVE_LIBS = "apk_native_libs"
    APK_INCONSISTENCY_TESTS = "apk_inconsistency_tests"
    APK_DECOMPILED = "apk_decompiled"
    # JavaScript
    JS_FEATURES = "js_features"
    JS_SUSPICIOUS_APIS = "js_suspicious_apis"
    JS_STRINGS = "js_strings"
    JS_DEOBFUSCATION = "js_deobfuscation"
    JS_CONTENT = "js_content"