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Impression Management Techniques IV: Altercasting

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Altercasting is a strategic communication technique in which an individual imposes a specific identity or social role onto another person to influence their behavior and shape the interaction. By presuming a role—such as “responsible leader” or “patient person”—altercasting encourages the target to conform to that identity, often aligning their behavior with the expectations associated with the role. The power of this tactic lies in its subtlety; once a role...
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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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SpeechPalette: A Comprehensive Speech Editing Method for Text-Based Speech Editing, One-Shot TTS and Attributes

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    SpeechPalette offers advanced speech editing, enabling easy modification of attributes like text and pitch. This method disentangles speech components for high-quality reconstruction and fine-grained user control.

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    Area of Science:

    • Artificial Intelligence
    • Speech Processing
    • Machine Learning

    Background:

    • Existing speech editing systems demand significant manual input and offer limited attribute control.
    • These limitations hinder the practical application of speech editing technologies.

    Purpose of the Study:

    • To introduce SpeechPalette, a novel speech editing method for high-quality, user-controlled modification of speech attributes.
    • To enable fine-grained control over speech segments, including text, pitch, and duration.

    Main Methods:

    • A decoupling approach disentangles speech attributes (text, pitch, duration) from the input audio.
    • A mask and prediction mechanism reconstructs speech, enhanced by a diffusion model predicting residual errors.
    • The system demonstrates capabilities in text-based editing, pitch/speed adjustments, and one-shot text-to-speech.

    Main Results:

    • SpeechPalette achieves superior performance in various speech editing tasks compared to baseline systems.
    • The method provides explicit, fine-grained control over speech attributes.
    • Experimental results and ablation studies validate the effectiveness of the proposed approach.

    Conclusions:

    • SpeechPalette presents a balanced approach to speech editing, offering high quality, explicit control, and practical deployment.
    • The method outperforms similarly-sized systems and demonstrates versatility across multiple speech manipulation tasks.