Naive text-to-speech engines mispronounce brand phonetics and fail to shape acoustic vocal tract formants F1/F2.
Passed phonetically as "Theory" to speech models, locked with exact oral cavity resonances for sung Solfège degrees.
Why AI voices fail on brand names & singing: First, if you type "THIRI" into a standard AI voice, it guesses "thee-ree" instead of "Theory" (/ˈθɪəri/). Second, when singing musical notes, raw sound waves sound like a flat plastic kazoo unless shaped by a human jaw (F1) and tongue (F2).
The human vocal tract functions as a series of acoustic resonators. The fundamental frequency \(f_0\) produced by the vocal folds is shaped by the pharynx and oral cavity, creating distinct spectral peaks called formants: F1 (first formant) responds to jaw opening (low for /i/ and /u/, high for /a/), while F2 (second formant) responds to tongue position (high for front vowels like /i/, low for back vowels like /u/). Standard speech models that synthesize naive text often produce flat, unnatural spectral distributions. THIRI filters harmonic saw waves through authentic dual biquad formants to produce organic, human vocal timbre on every chromatic scale degree.