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Word Spotting vs. Phonetic Search vs Speech Recognition

    https://www.callcentrehelper.com/word-spotting-vs-phonetic-search-vs-speech-recognition-57253.htm#:~:text=Keyword%20spotting%20is%20a%20different%20technique%20for%20searching,the%20entire%20vocabulary%29%2C%20much%20less%20computation%20is%20required.
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Keyword Spotting - Speech Recognition Technology | …

    https://www.phonexia.com/en/product/keyword-spotting/
    Phonexia Keyword Spotting (KWS) technology automatically identifies the occurrences of specific keywords and keyphrases in audio recordings. Topic Detection Identify the topics of calls and audio recordings automatically based on the appearance of …

Keyword Spotting: An Audio Mining Technique in Speech ...

    https://iosrjournals.org/iosr-jvlsi/papers/vol5-issue4/Version-2/D05422227.pdf
    Speech keyword spotting is an excellent technology in audio mining [6]. It is a retrieval of all instances of a given keyword in spoken utterances. Keyword spotting is well suited to data mining tasks that process large amount of speech such as real-time keyword monitoring and to audio document indexing. Keyword spotting is a

Keyword Spotting AI Solutions | ApexAudio

    https://apexaudio.us/keyword-spotting/
    Keyword Spotting Solution. Train your device to identify the keyword/key phrase in voice commands and audio recordings. APEXAUDIO KEYWORD SPOTTING TECHNOLOGY. Enable voice commands on your edge devices using our highly accurate, low-latency, and low power keyword spotting solutions. Our software can be easily trained using deep neural networks for your …

Keyword Spotting | Papers With Code

    https://paperswithcode.com/task/keyword-spotting
    Low-Power Audio Keyword Spotting using Tsetlin Machines. cair/TsetlinMachine • 27 Jan 2021. In this paper we explore a TM based keyword spotting (KWS) pipeline to demonstrate low complexity with faster rate of convergence compared to NNs.

Keyword Spotting in Noise Using MFCC and LSTM …

    https://www.mathworks.com/help/audio/ug/keyword-spotting-in-noise-using-mfcc-and-lstm-networks.html
    Keyword spotting (KWS) is an essential component of voice-assist technologies, where the user speaks a predefined keyword to wake-up a system before speaking a complete command or query to the device. This example trains a KWS deep network with feature sequences of mel-frequency cepstral coefficients (MFCC).

Low-Power Audio Keyword Spotting using Tsetlin Machines ...

    https://paperswithcode.com/paper/low-power-audio-keyword-spotting-using
    Low-Power Audio Keyword Spotting using Tsetlin Machines. The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current Neural Network (NN) powered AI-KWS pipelines has remained …

Audio Search Based on Keyword Spotting in Arabic Language

    https://thesai.org/Downloads/Volume5No2/Paper_19-Audio_Search_Based_on_Keyword_Spotting_in_Arabic_Language.pdf
    The proposed audio keyword spotting system is supposed to search and allocate requested speech segments (word, connected words, sentences) within continuous speech using a Template Matching based approach with the help of text search. There is no restriction concerning the number of occurrences of the word.

keyword-spotting · GitHub Topics · GitHub

    https://github.com/topics/keyword-spotting
    Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2. transfer-learning keyword-spotting fine-tuning state-of-the-art kws speech-commands

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