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Is it because their listening function reloads in milliseconds or even nanoseconds Yes, it expects the keyword to start every moment of time and it ignores the rest. Overall, the algorithm is described here, you can read for details: https://machinelearning.apple.com/research/hey-siri


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The problem you state is a well known problem, and it is called "keyword spotting" os KWS. If you add a wake up word before it (like "hey google/siri"), you can also use "voice command" system to alleviate the problem. There are two kind of KWS systems: those which develop to detect a hard coded set of keywords, and those who ...


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There are two "inputs" into Wavenet: the previously generated samples of the waveform, which are usually encoded into multiple channels, like into 256 channels using 8-bit mu-law encoding local conditioning, which can be things like linguistic features such as phoneme classes (used in the original wavenet paper), or frequencies like mel ...


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Are there examples that transformer have better accuracy than RNN end-to-end model like RNN-transducer for speech recognition? Can transformer be used for online speech recognition which require low speech-end-to-result latency? Does transformer have the potential to replace RNN end-to-end models for speech recognition in most cases in the future? This ...


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Google has an API you can use. https://cloud.google.com/translate/. Their API can translate audio to text. They also have an API for converting speech to text. The language detection feature should let you detect the language in the resulting text. They have client libraries for the most popular programming languages.


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Both of them using the end-to-end approach for speech recognition. However, because of the code complexity in DeepSpeech, you can't tune the model for your work. Kaldi could be configured in a different manner and you have access to the details of the models and indeed it is a modular tool. I think Kaldi could be a better tool academically and also ...


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The difference between a Speech API and a Speech Engine is: Speech API's enable developers to integrate speech recognition technologies into developer apps. On the other hand a speech engine is software that gives your computer the ability to play back text in a spoken voice. (Source msdn library) Below is a list of speech recognition tool-kits and their ...


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