Robotics 2.0 with Deep Learning: With Live Raspberry Pi 3 and Arduino Projects: With Live Raspberry Pi 3 and Arduino Projects by Narendra Mohan Mittal

Robotics 2.0 with Deep Learning: With Live Raspberry Pi 3 and Arduino Projects: With Live Raspberry Pi 3 and Arduino Projects by Narendra Mohan Mittal

Author:Narendra Mohan Mittal [Mittal, Narendra Mohan]
Language: eng
Format: mobi
Published: 2019-05-25T16:00:00+00:00


How does the robot recognize the wake word? The speech system we will be using, the open source system Mycroft, uses one of two methods. The first is a phoneme recognition system called Sphynx. What the heck is a phoneme? You can understand that words are made up out of individual sounds, which we roughly assign to letters of the alphabet. An example would be the p sound in the word pet or pick. We make the pppp sound by putting our lips together. The burst of sound we make is identifiable as a P sound – this is a

phoneme. The word Albert has several phonemes – the A sound, (ah), the L sound, the B, the ER together (errrrr), and finally, the T. The letters we associate with the sounds – the ch in cherry, the er in Albert, are called graphemes, as they graphically represent these sounds. We could say that the speech-to-text problem is one of mapping these phonemes to graphemes, but we know that this is too easy – English has all sorts of borrowed words and phrases where the pronunciation and the spelling are far apart.



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