Restricted Domain Malay Speech Synthesizer Using Syntax-Prosody Representation

Abstract

The speech synthesis approach required in restricted domain speech application is a synthesizer that has high quality like the speech output of 'slot-filler' approach but have at least the least flexibility of the 'genuine' speech synthesizer. Thus, in this research study, we propose an alternative approach of creating a speech synthesizer to be used in a restricted domain speech application. In our approach, we use word unit as the primary unit and our speech corpus is represented by syntax-prosody tree structures. Speech synthesis is performed by constructing a syntax-prosody tree of a target input sentence. The construction of the tree is by done by adapting an examplebased syntactic parsing approach and the concatenated of synthesis units from the constructed tree nodes will be the synthesized utterance. For evaluation, we performed MOS subjective evaluation on our speech synthesizer with natural speech and two other Malay TTS system. Based on an ANOVA and T-Tests analysis, we found the overall MOS scores of our speech synthesizer output, sound B was (mean = 3.34, sd = 1.10), the other two Malay TTS system; C (mean = 1.95, sd = 0.72) and D (mean = 1.80, sd = 1.04) and the natural speech, A (mean = 4.71, sd = 0.21). We conclude that our Malay speech synthesizer sounded more natural, easier to listen, more pleasant and more fluent compared to the sounds of the other two Malay TTS systems. As expected, the recorded speech was perceived more natural than the output of our Malay speech synthesizer.

An Analysis of Sound for Fault Engine

“…A number of important features are extracted from the measured acceleration signals, for examples, mean of periodic peaks, mean of periodic off-peaks (Wongchai et al, 2012;Tiun et al, 2012), fundamental frequency, energy, cepstrum coefficients and zero crossing rate. These features are expected to distinguish all cases of the engine faults.…”

Untitled

“…Kajian ini mengguna keseluruhan struktur pokok perwakilan untuk memilih calon sasaran unit pertuturan yang sesuai untuk digabung menjadi ayat sintesis pertuturan. Penerangan terperinci mengenai pemilihan calon unit pertuturan boleh dirujuk dengan mendalam dalam Tiun et al (2012).…”

“…Hasil daripada proses rakaman, anotasi, pemenggalan dan pelabelan dan pengindeksan dalam pangkalan data, terhasil mini korpus pertuturan bahasa Melayu yang mengandungi 422 unit ayat, 1720 unit frasa dan 6787 unit, seperti dalam Jadual 5. Tiun et al (2012). Dalam Tiun et al (2012), suara sintesis sistem UTMK-MSS dibanding dengan suara sintesis dua jenis sistem sintesis bahasa Melayu yang berlainan dan juga suara semulajadi (rakaman).…”

A Framework for Multilingual Text- Independent Speaker Identification System

“…LP (Prathosh et al, 2013) analysis of speech assumes the source-filter model, means adaptively filtering the formants required to synthesize the speech (Tiun et al, 2012). The LP residual signal could be derived even for noisy signals.…”