Rule synthesis of speech from dyadic units

By J. Olive. 1977

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Neural Speech Synthesis (2021, methodology): “The early computer-based speech synthesis methods include articulatory synthesis [52, 294], formant synthesis [293, 5, 167, 168], and concatenative synthesis [247, 235, 291, 124, 26].”
Listening while speaking: Speech chain by deep learning (2017, methodology): “In a similar direction, TTS technology development has gradually shifted from the foundation of a rule-based system using waveform coding and an analysis-synthesis method [7, 8, 9] to a waveform unit concatenation approach [10, 11] and a more flexible approach using the statistical modeling of hidde”
Text-to-Speech Synthesis (2009, methodology): “One of the first complete synthesisers to use LP was developed at Bell Labs, [339] [338] and this started a line of unbroken TTS development for many years.”
Automatic Building of Synthetic Voices from Audio Books (2010, background): “The speech units used in concatenative synthesis are typically at diphone level so that the natural co-articulation is retained [Olive, 1977].”
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI (2023, unknown): “, formant synthesis [40, 41, 95] and concatenative synthesis [29, 69, 75]), statistical parametric speech synthesis (SPSS)-based methods [115, 116, 133], and neural network-based stage [122, 135, 136].”