Creating an algorithm for detecting and classifying accents using formant analysis and neural networks.
An explanation of how individual syllables are analyzed and broken down into vowel sounds and formants.
How we chose what vocal samples to extract in order to get an accurate representation of an accent.
A description of how formant frequencies were extracted from vowel samples.
An explanation of formants, what they are, and how their frequency values relate to specific vowel sounds. Includes an IPA vowel chart and spectogram examples.
This lesson will assist children in recognizing and discriminating short and long vowel sounds.
Students will participate in two activities involving the consonant-vowel-consonant-silent e (CVCE) pattern: a decoding activity involving attaching a clothes pin with the letter e printed on it to consonant-vowel-consonant words (CVC) and sounding the new CVCE words; and an encoding activity involving dictation of CVC and CVCE words from the first activity which students are to write using auditory and tactile strategies. These activities require that students have prior knowledge of consonant and long and short vowel sounds as well as blending of these sounds in CVC pattern words.
This is a lesson for Secondary Special Education Teachers who teach exceptional children who are reading at the second grade level. Students will learn decoding patterns using vowels and consonants to divide words into syllables in order to sound out the word.
