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Text-to-Speech (TTS)

Computer system that converts written text into synthetic human speech through natural language processing and speech synthesis algorithms.

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Speech synthesis

Artificial production of human speech by computer systems using linguistic and acoustic models to generate audio signals.

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Phoneme

Smallest distinctive unit of sound in a language, serving as the fundamental basis for word construction in speech synthesis.

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Prosody

Set of supra-segmental features of speech including intonation, rhythm, stress, and melody, essential for natural synthesis.

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Concatenative synthesis

TTS approach that assembles pre-recorded audio segments (diphones, syllables) to create continuous speech with high sound quality.

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Parametric synthesis

Method that generates speech from parametric mathematical models representing the acoustic characteristics of the vocal signal.

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Neural TTS

Speech synthesis systems using deep neural networks to directly generate audio waveforms from text.

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WaveNet

Neural network architecture developed by DeepMind that generates audio waveforms sample by sample for ultra-realistic speech synthesis.

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Tacotron

End-to-end attention-based TTS architecture, directly converting text to mel spectrograms with natural prosody.

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Vocoder

Algorithm or system that analyzes and re-synthesizes human speech, converting acoustic representations into understandable audio signals.

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Mel spectrogram

Visual representation of the frequency spectrum of an audio signal on the mel scale, mimicking human hearing perception for TTS.

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MFCC

Mel-frequency cepstral coefficients, acoustic features widely used in speech recognition and synthesis to represent speech signals.

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Voice cloning

TTS technique that creates personalized speech synthesis imitating the unique characteristics of a specific voice from limited audio samples.

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Unit selection synthesis

Advanced concatenative method that dynamically selects optimal speech units from a large database to maximize naturalness.

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HMM synthesis

Parametric approach using hidden Markov models to statistically model acoustic sequences and generate speech.

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Articulatory synthesis

TTS method that simulates the physical process of human speech production by modeling the movements of vocal articulators.

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FastSpeech

Non-autoregressive TTS architecture generating mel spectrograms in parallel for fast and high-quality speech synthesis.

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Text normalization

Linguistic preprocessing converting symbols, numbers, and abbreviations into pronounceable textual form before speech synthesis.

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