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End-to-end Keyword Spotting using Xception-1d

2021-10-09 · Iván Vallés-Pérez, Juan Gómez-Sanchis, Marcelino Martínez-Sober, Joan Vila-Francés, Antonio J. Serrano-López, Emilio Soria-Olivas

The field of conversational agents is growing fast and there is an increasing need for algorithms that enhance natural interaction. In this work we show how we achieved state of the art results in the Keyword Spotting field by adapting and tweaking the Xception algorithm, which achieved outstanding results in several computer vision tasks. We obtained about 96\% accuracy when classifying audio clips belonging to 35 different categories, beating human annotation at the most complex tasks proposed.

📄 PDF Abstract BibTeX arXiv:2110.07498

Code (1)

ivallesp/xception1d 공식 구현 pytorch

Tasks

Keyword Spotting

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On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation

2023-07-06 · Gene-Ping Yang, Yue Gu, Qingming Tang, Dongsu Du 외

Large self-supervised models are effective feature extractors, but their application is challenging under on-device budget constraints and biased dataset collection, especially in keyword spotting. To address this, we pr…

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TDT-KWS: Fast And Accurate Keyword Spotting Using Token-and-duration Transducer

2024-03-20 · Yu Xi, Hao Li, Baochen Yang, Haoyu Li 외

Designing an efficient keyword spotting (KWS) system that delivers exceptional performance on resource-constrained edge devices has long been a subject of significant attention. Existing KWS search algorithms typically f…

Keyword Spotting

Few-Shot Keyword Spotting With Prototypical Networks

2020-07-25 · arXiv 2020 6 · Archit Parnami, Minwoo Lee

Recognizing a particular command or a keyword, keyword spotting has been widely used in many voice interfaces such as Amazon's Alexa and Google Home. In order to recognize a set of keywords, most of the recent deep learn…

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Few-Shot Keyword Spotting in Any Language

2021-04-03 · Mark Mazumder, Colby Banbury, Josh Meyer, Pete Warden 외

We introduce a few-shot transfer learning method for keyword spotting in any language. Leveraging open speech corpora in nine languages, we automate the extraction of a large multilingual keyword bank and use it to train…

Keyword Spotting Transfer Learning

Open-vocabulary Keyword-spotting with Adaptive Instance Normalization

2023-09-13 · Aviv Navon, Aviv Shamsian, Neta Glazer, Gill Hetz 외

Open vocabulary keyword spotting is a crucial and challenging task in automatic speech recognition (ASR) that focuses on detecting user-defined keywords within a spoken utterance. Keyword spotting methods commonly map th…

Automatic Speech Recognition Automatic Speech Recognition (ASR)Keyword Spotting speech-recognition+1