A Text To Speech (TTS) synthesis is a computer based system that should be able to read any text aloud. Thus TTS technology is essential to those people who are visually impaired. It also plays a very important role in the field of Telecommunication, Industrial and educational applications. Thus TTS has been developed for foreign languages and is well established. As Indian language characters ...

This paper presents the development of a hidden Markov model (HMM)-based Malay text-to-speech (TTS) system. To our knowledge, this is the first report on the development of the HMM-based speech synthesis system for the Malay language. In this paper, We first discuss the Malay speech characteristics, specifically, on Malay phonological system and syllable structure. In the Malay phonological sys...

The applicability of time-temperature superposition of dynamic mechanical data for miscible polymer blends that exhibit strong intermolecular interactions was investigated. Blends of the lithium salt of lightly sulfonated polystyrene ionomers (Li-SPS), 9-12mol% sulfonation, and N-methylated nylon-2,lO (mPA) were miscible over the composition range studied, 30-70 wt% ionomer. Time-temperature su...

Open-source text-to-speech (TTS) software has enabled the development of voices in multiple languages, including many high-resource languages, such as English and European languages. However, building voices for low-resource languages is still challenging. We describe the development of TTS systems for 12 Indian languages using the Festvox framework, for which we developed a common frontend for...

Noise levels in the ocean are increasing and are expected to affect marine mammals. To examine the auditory effects of noise on odontocetes, a bottlenose dolphin (Tursiops truncatus) was exposed to octave-band noise (4-8 kHz) of varying durations (<2-30 min) and sound pressures (130-178 dB re 1 microPa). Temporary threshold shift (TTS) occurrence was quantified in an effort to (i) determine the...

Online social media has recently irrupted as the last major venue for the propagation of news and cultural content, competing with traditional mass media and allowing citizens to access new sources of information. In this paper, we study collectively filtered news and popular content in Twitter, known as Trending Topics (TTs), to quantify the extent to which they show similar biases known for m...

We propose a new approach to rendering speech of different languages with only a speaker’s monolingual recordings for mixed-code TTS applications. A reference speaker in the target language (say Chinese) is used to help building the target language TTS with “tiles” of the original source speaker‘s monolingual (say English) data. The difference between the monolingual source speaker and the refe...

In plant sexual reproduction, pollen tubes elongate from the stigma, through the stylar transmitting tissue, to the ovary of the pistil to deliver the male gametes for fertilization. TTS protein is a tobacco transmitting tissue glycoprotein shown to attract pollen tubes and promote their growth. Here, we show TTS proteins adhere to the pollen tube surface and tips, suggesting that they may serv...

This paper presents methods for automatic speech signal segmentation using neural network. Speech signal segmentation is carried out to form syllables. Syllable is a common unit for concatenative TTS systems. Concatenative TTS being using speech segments of recorded speech is natural as compare to Formant or Articulatory TTS systems. This TTS stores small segments of speech and join them togeth...

Text-to-Speech (TTS) systems have made strides but creating natural-sounding human voices remains challenging. Existing methods rely on noncomprehensive models with only one-layer nonlinear transformations, which are less effective for processing complex data such as speech, images, and video. To overcome this, deep learning (DL)-based solutions been proposed TTS require a large amount of train...