uSpeech library

The uSpeech library provides an interface for voice recognition using the Arduino. It currently produces phonemes, often the library will produce junk phonemes. Please bare with it for the time being. A noise removal function is underway.

Minimum Requirements

The library is quite intensive on the processor. Each sample collection takes about 3.2 milliseconds so pay close attention to the time. The library has been tested on the Arduino Uno (ATMega32). Each signal object uses up 160bytes. No real time scheduler should be used with this.

Features

Letter based recognition
Small memory footprint
Arduino Compatible
No training required
Fixed point arithmetic
30% - 40% accuracy if based on phonemes, up to 80% if based on words.
Plugs directly into an analogRead() port

Documentation

Documentation on this library is a work in progress. There is a downloadable PDF in the downloads section with a tutorial and information about how to create your first voice-enabled project.

Algorythm

The library utilizes a special algorythm to enable speech detection. First the complexity of the signal is determined by taking the absolute derivative of the signal multiplying it by a fixed point saclar and then dividing it by the absolute integral of the signal. Consonants (other than R,L,N and M) have a value above 40 and vowels have a value below 40. To determine the vowel a filter bank is used and the formants are extracted and matched to this table and determined. As for consonants, they can be divided into frictaves and plosives. Plosives are like p or b whereas frictaves are like s or z. Generally each band of the complexity coeficient (abs derivative over abs integral) can be matched to a small set of frictaves and plosives. The signal determines if it is a plosive or a frictave by watching the length of the utterance (plosives occur over short periods while frictaves over long). Finally the most appropriate character is chosen.