Sentence examples for isolated word recognition from inspiring English sources
In the 1960s, the ASR research was focused on phonemes and isolated word recognition.
The masking effect of human hearing is modeled by lateral and unilateral inhibition, and tested for isolated word recognition tasks.
In this article, DWT and LPC-based techniques (UWLPC and DWLPC) for isolated word recognition have been presented.
The difference between these two tasks is illustrated by considering the analogy of performing isolated word recognition with HMMs and employing HMMs in continuous speech recognition.
We conducted the experiments of our proposed method using a limited vocabulary (100 words) distant isolated word recognition in a real environment.
As words with closely related meanings present different processing patterns than words with unrelated meanings (e.g., isolated word recognition: Azuma and Van Orden 1997; Rodd et al. 2002; sentence comprehension: Frazier and Rayner 1990; Pickering and Frisson 2001), taking this additional factor into consideration offers us a clearer picture about the effect of context on lexical access.
To evaluate our method, isolated word speech recognition experiments were performed.
Phoneme 1 18 N Q a a aN aa ai ao b by ch d e eN ee ei f g Dimension 8 4 7 8 9 7 9 8 6 8 4 6 8 8 9 8 6 8 Phoneme 19 36 gy h hy i i+ iN ii j k ky m my n ny o o oN oo Dimension 8 5 4 7 6 9 6 5 6 5 8 7 8 9 10 8 10 10 Phoneme 37 54 ou p r ry s sh t ts u u+ u ue ui uu w y z pau Dimension 9 2 8 8 3 4 3 3 8 8 8 9 8 8 9 6 5 2. Figure 4 shows isolated word speech recognition results with IPS1.
Baseline parameters of the training procedure are evaluated for the threshold character size for single letters, isolated words and paragraphed text, for the accuracy of words recognition during paragraphed text reading and for the oculomotor strategies while reading isolated words and paragraphed text.
As early as 1975 speech recognition systems were described 'in which isolated words, spoken by a designed talker, are recognized through calculation of a minimum prediction residual' [ 19] reporting a 97.3percentnt recognition rate for a male speaker.
α was tuned with an isolated word-recognition experiment of MC-MDT on the Speecon and the SpeechDat Car databases used in [36], which we hence regard as development data for this article.
