Interspeech 2017 — Speech Synthesis Technology

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1. Introduction to Speech Synthesis Technology

1.1 What is Speech Synthesis?

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1.2 Application Scenarios and Research Scope of Speech Synthesis Technology

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1.3 A Typical Speech Synthesis System Flow-process Diagram

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1.4 Speech Production Process

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1.5 Three Kinds of Existing Speech Synthesis Systems

Parametric Speech Synthesis System

Splicing Speech Synthesis System

Waveform-based statistical speech synthesis system (WaveNet)

1.6 Assessment Criteria for Speech Synthesis

2. Introduction to Dissertations Regarding Speech Synthesis

2.1 WaveNet and Novel Paradigms

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2.1.1 PAPER Tue-O-4–1–1 — Speaker-Dependent WaveNet Vocoder

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2.1.2 PAPER Tue-O-4–1–2 — Waveform Modeling Using Stacked Dilated Convolutional Neural Networks for Speech Bandwidth Extension

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2.1.3 PAPER Tue-O-4–1–5 — Statistical Voice Conversion with WaveNet-Based Waveform Generation

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2.2 Articles Introducing Synthesis Systems of Big Companies

2.2.1 Apple: Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System

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2.2.2 Google’s Next-Generation Real-Time Unit-Selection Synthesizer using Sequence-To-Sequence LSTM-based Auto-encoders

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2.2.3 Nuance: Unit Selection with Hierarchical Cascaded Long Short Term Memory Bidirectional Recurrent Neural Nets

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2.2.4 Google: Tacotron: Towards End-to-End Speech Synthesis

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