Phonetics of segmental FO and machine recognition of Korean speech
The main goal of the study is to improve performance of Korean automatic recognition by exploiting the fundamental frequency (F0) of vowels, which is affected by identity of the preceding consonant. The hypothesis is that if the vowel F0 is given, the identification of the consonant can be more accurate. The effect, which I will call the ~segmental F0 effect~, has been confirmed by a number of phonetic studies across various languages. Most frequently, the F0 value of a vowel has been suggested to be a cue to the voiced/voiceless distinction of the preceding consonant. In Korean, segmental F0 can be useful for differentiating the three typical manners (lax, tense, and aspirated) of stop and affricate articulation. Earlier phonetic studies have found that F0 of a vowel onset becomes higher after strong stops (eg., tense and aspirated sounds) and lower after lax stops. It is also suggested that this effect is more salient in Korean than European languages like English and French. If the segmental F0 effect is going to be helpful for speech recognition, it has to be detectable outside the carefully controlled data used for phonetic studies. I show that automatic measurements over a large amount of data can also
Jang, Tae-Yeoub
Phonetics of segmental FO and machine recognition of Korean speech. The main goal of the study is to improve performance of Korean automatic recognition by exploiting the fundamental frequency (F0) of vowels, which is affected by identity of the preceding consonant. The hypothesis is that if the vowel F0 is given, the identification of the consonant can be more accurate. The effect, which I will call the ~segmental F0 effect~, has been confirmed by a number of phonetic studies across various languages. Most frequently, the F0 value of a vowel has been suggested to be a cue to the voiced/voiceless distinction of the preceding consonant. In Korean, segmental F0 can be useful for differentiating the three typical manners (lax, tense, and aspirated) of stop and affricate articulation. Earlier phonetic studies have found that F0 of a vowel onset becomes higher after strong stops (eg., tense and aspirated sounds) and lower after lax stops. It is also suggested that this effect is more salient in Korean than European languages like English and French. If the segmental F0 effect is going to be helpful for speech recognition, it has to be detectable outside the carefully controlled data used for phonetic studies. I show that automatic measurements over a large amount of data can also
phonetics segmental machine recognition korean speech main_goal study improve performance korean automatic recognition exploit fundamental_frequency vowel affect identity precede consonant hypothesis vowel give identification consonant accurate effect call segmental effect confirm number phonetic_study across various language frequently value vowel suggest cue voiced voiceless distinction precede consonant korean segmental useful differentiate typical manner lax tense stop articulation earlier phonetic_study find vowel onset become high strong stop tense sound low lax stop also_suggest effect salient korean european languages like english_french segmental effect helpful speech_recognition detectable outside carefully control data_use phonetic_study show automatic measurement large_amount data also