This work describes a cryogenic, electro-optically -switched Yb:YAG laser that generates 114-W average TEM power with 47% optical-to-optical efficiency. Pulse repetition frequency is 5 kHz, pulse duration is 16 ns full-width at half-maximum, and is less than 1.05.

Speech duration is an important component in statistical parameter speech synthesis(SPSS). In LSTM-RNN based SPSS system, the speech duration affects the quality of synthesized speech in two aspects, the prosody of speech and the position features in acoustic model. This paper investigated the effects of duration in LSTM-RNN based SPSS system. The performance of the acoustic models with positio...

This work describes a cryogenic, electro-optically -switched Yb:YAG laser that generates 114-W average TEM power with 47% optical-to-optical efficiency. Pulse repetition frequency is 5 kHz, pulse duration is 16 ns full-width at half-maximum, and is less than 1.05.

This work describes a cryogenic, electro-optically -switched Yb:YAG laser that generates 114-W average TEM power with 47% optical-to-optical efficiency. Pulse repetition frequency is 5 kHz, pulse duration is 16 ns full-width at half-maximum, and is less than 1.05.

We propose a new method for creating an optimal coherence in a two-level system (TLS) based on adiabatic following. Optimal coherence is achieved by choosing the time-dependent phase of the pulse that provides vanishing field-TLS detuning dðtÞ at central time when the pulse amplitude reaches maximum. For example, dðtÞ 1⁄4 d0ð1 expððt t0Þ=s0ÞÞ for t 6 t0 and d 1⁄4 0 for t > t0. The pulse envelop...

There are various types of lasers available for hair reduction, but the choice of an ideal laser for ethnic skin has its own limitations. The choice of the right laser for the right skin type is very important. Before starting with the laser therapy, it is important to assess the skin type, the fluence, the pulse duration and the type of laser to be used.

The acoustic model and the duration model are the two major components in statistical parametric speech synthesis (SPSS) systems. The neural network based acoustic model makes it possible to model phoneme duration at phone-level instead of state-level in conventional hidden Markov model (HMM) based SPSS systems. Since the duration of phonemes is countable value, the distribution of the phone-le...

Appropriate phoneme durations are essential for high quality speech synthesis. In hidden Markov model-based text-tospeech (HMM-TTS), durations are typically modeled statistically using state duration probability distributions and duration prediction for unseen contexts. Use of rich context features enables synthesis without high-level linguistic knowledge. In this paper we analyze the accuracy ...

This paper proposes a framework of F0 contour generation and segmental duration modeling for application in a unit-selection speech synthesis system for Polish – BOSS. We describe the design of the F0 and duration modeling modules and emphasize the role of prosodic features (related to stress, pitch accent and phrase) in these two tasks.