Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

Although diffusion probabilistic vocoders WaveGrad and DiffWave can realize real-time high-
fidelity speech synthesis with a simple loss function in training, all noise components with …

This paper investigates a real-time neural speech synthesis system on CPUs that can
synthesize high-fidelity 48 kHz speech waveforms to cover the entire frequency range …

Autoregressive neural vocoders have achieved outstanding performance in speech
synthesis tasks such as text-to-speech and voice conversion. An autoregressive vocoder …

In this work, we present the system to detect the liveness by identifying the pop noise in the
voice signal in order to avoid the security breach of ASV systems. Pop noise is created due …

Abstract End-to-end (e2e) speech synthesis systems have become popular with the recent
introduction of text-to-spectrogram conversion systems, such as Tacotron, that use encoder …

This chapter introduces an overview of the current approaches for generating spoken
content using text-to-speech synthesis (TTS) systems, and thus the voice of an Interactive …

Diffusion based vocoders have been criticised for being slow due to the many steps required
during sampling. Moreover, the model's loss function that is popularly implemented is …

摘要近年來, 隨著深度學習的進步, 許多語音生成模型展現了出色的表現.
儘管取得了亮眼的成果, 語音生成技術的發展也伴隨了對運算和資料資源的更大需求 …

This paper proposes a statistical parametric speech synthesis system that uses non-
negative autoencoder (NAE) for spectral modeling. NAE is a model that extends non …