Emily Shannon Fu Foundation (Formerly TigerSpeech Technolog)
Basic & Advanced Test Modules
Vowel Recognition Test: Vowel recognition was measured in a 12-alternative identification paradigm. The vowel set included 10 monophthongs and 2 diphthongs, presented in a /h/-vowel-/d/ context (heed, hid, head, had, who'd, hood, hod, hud, hawed, heard, hoed, hayed). The tokens for vowel recognition test were digitized natural productions from 5 men and 5 women, for a total of 120 tokens for standard test or 2 men and 2 women, for a toal of 48 tokens for express test.
Consonant Recognition Test: Consonant recognition was measured in a 20-alternative identification paradigm. The consonant set included /b d g p t k m n l r y w f s sh v z th ch j/, presented in an /a/- consonant-/a/ context. Consonant tokens consisted of digitized natural productions from 5 men and 5 women, for a total of 200 tokens for standard test. The tokens for the consonant recognition test were digitized natural productions from 2 men and 2 women, for a total of 80 tokens.
Voice Gender Recognition Test: Voice gender recognition was measured in a 2-alternative identification paradigm. The tokens were the same as those used in the vowel recognition. In the other words, there are 120 tokens for the standard test and 48 tokens for the express test.
Melodic Contour Identification Test Melodic Contour Identification was measured in a 9-alternative identification paradigm. The contour set included 9 patterns, representing simple pitch contours (e.g., "rising," "falling," "flat") and changes in pitch contour (e.g., "rising- falling," "falling-rising," "rising-flat," "flat-rising," "flat-falling," "falling-flat"). The melodic sequences were generated in relation to a "base note," (i.e., the lowest note in the melody); The interval between successive notes in the melodic sequence is varied between 1 and 5 semitones. For the standard MCI test, a total of 135 melodic sequences were generated (9 patterns x 3 base x 5 inter-note distances). For the express test, only one base note is used, resulting in a total of 45 tokens.
Vocal Emotion Recognition Test Vocal emotion recognition was measured in a 5-alternative identification paradigm. The emotion set included 5 target emotions (angry, happy, sad, anxious, and neutral). Vocal emotion tokens consisted of 50 digitized natural produced sentences (10 sentences, each with 5 emotions) from one female and one male, for a total of 100 tokens for standard test and 40 tokens for express test (with 4 sentences only).
Basic Speech Perception Test Module Basic module covers five commonly used closed-set speech recognition test, including vowel recogntion, consonant recognition, voice gender recognition, melodic contour identification, and vocal emotion recogntion. Basic module also have two testing groups. One is the standard test and the other is the express test. The only difference is that express test contains less stimuli so the test takes less time but also less reobust. The detailed description of each test is shown as follows.
Basic and Advanced Modules
Internet-based Computer-Assisted Speech Testing