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Updated: Jul 18, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Research on Speech Synthesis Based on Mixture Alignment Mechanism.

Yan Deng1, Ning Wu2, Chengjun Qiu3,4

  • 1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
Summary

Mixture-TTS, a novel non-autoregressive speech synthesis model, enhances text-to-audio alignment using a mixture alignment mechanism. This deep learning approach achieves high-quality speech synthesis with improved rhythmic and semantic information extraction.

Keywords:
acoustic signal processingdeep learningmixture attention mechanismspeech synthesis

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Area of Science:

  • Machine Learning
  • Speech Synthesis
  • Deep Learning

Background:

  • Deep learning-based speech synthesis models have gained significant traction in recent years.
  • Optimizing the alignment between text and audio representations is crucial for natural-sounding speech synthesis.

Purpose of the Study:

  • To propose Mixture-TTS, a non-autoregressive speech synthesis model.
  • To enhance the alignment between text sequences and mel-spectrograms using a mixture alignment mechanism.

Main Methods:

  • Employs a linguistic encoder with soft phoneme-level and hard word-level alignment for semantic information extraction.
  • Integrates pitch and energy predictors for accurate rhythmic information.
  • Utilizes a five-layer 1D convolutional network post-net for mel-spectrogram reconfiguration.
  • Leverages the HiFi-GAN vocoder for final audio generation.

Main Results:

  • Mixture-TTS demonstrates improved alignment between text and mel-spectrograms.
  • The model achieves high-quality audio output.
  • Ablation studies confirm the effectiveness of the proposed Mixture-TTS architecture.

Conclusions:

  • Mixture-TTS offers an effective approach to non-autoregressive speech synthesis.
  • The mixture alignment mechanism significantly contributes to improved text-audio synchronization and audio quality.