Keyword Spotting
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In speech processing, keyword spotting deals with the identification of keywords in utterances.
<span style="color:grey; opacity: 0.6">( Image credit: Simon Grest )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/glam-imperial/AudioXgen
공식 코드Audio Explanation Synthesis with Generative Foundation Models
https://github.com/gnafiy/tpdt-ss-kws
공식 코드Text-aware Speech Separation for Multi-talker Keyword Spotting
https://github.com/gusrud1103/libriphrase
공식 코드Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting
https://github.com/gzhu06/PodcastFillers_Utils
공식 코드Filler Word Detection and Classification: A Dataset and Benchmark
https://github.com/hanyu-meng/adapting-leaf
공식 코드https://github.com/harvard-edge/multilingual_kws
공식 코드https://github.com/holgerbovbjerg/data2vec-kws
공식 코드Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining
https://github.com/htqin/bifsmn
공식 코드https://github.com/htqin/bifsmnv2
공식 코드BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
https://github.com/huangyz0918/kws-continual-learning
공식 코드https://github.com/huckiyang/speech_quantum_dl
공식 코드https://github.com/hyperconnect/TC-ResNet
공식 코드Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
https://github.com/ivallesp/xception1d
공식 코드https://github.com/janson9192/autokws2021
공식 코드https://github.com/jd-deleon/depth-pruning-auxnets
공식 코드https://github.com/jsvir/sparknet
공식 코드https://github.com/kayodeolaleye/keyword_localisation_speech
공식 코드Keyword localisation in untranscribed speech using visually grounded speech models
https://github.com/lingjzhu/clap-ipa
공식 코드The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
https://github.com/lxcnju/FedKWS-UI
공식 코드Avoid Overfitting User Specific Information in Federated Keyword Spotting
https://github.com/malmaud/whats_cookin
공식 코드What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
https://github.com/mbalazs98/spatiotemporal
공식 코드https://github.com/mechanicalsea/lighthubert
공식 코드https://github.com/mlcommons/tiny
공식 코드https://github.com/mlcommons/tiny_results_v0.5
공식 코드https://github.com/mlcommons/tiny_results_v0.7/tree/main/open/hls4ml-finn
공식 코드https://github.com/mrusci/ondevice-fewshot-kws
공식 코드Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems
https://github.com/msalhab96/araspot
공식 코드https://github.com/ncsoft/phonmatchnet
공식 코드PhonMatchNet: Phoneme-Guided Zero-Shot Keyword Spotting for User-Defined Keywords
https://github.com/nttcslab/m2d
공식 코드Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input
https://github.com/prajwalkr/transpotter
공식 코드https://github.com/pulp-platform/eae-kws
공식 코드Boosting keyword spotting through on-device learnable user speech characteristics
https://github.com/pulp-platform/pulp-trainlib
공식 코드https://github.com/retrocirce/hts-audio-transformer
공식 코드HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
https://github.com/rkmtlab/LipLearner
공식 코드LipLearner: Customizable Silent Speech Interactions on Mobile Devices
https://github.com/robobachelor/keyword-spotting-stm32
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.