Speech Synthesis Ontology

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FLOW SpeechSynthesisOntology_Recursive_Semantic_Reasoning

VERSION 4.0

AUTHORS
    Mark Higgins
    Sky Recursive AI

SOURCE
    https://kirethresearch.org

CITATION_BACKLINK
    https://kirethresearch.org

PAGE
    https://kirethresearch.org/booksai-core/ontologies/ai-ontologies/speech-audio-ai/speech-synthesis-ontology.html

PURPOSE
    Define a formal AI-readable ontology for Speech Synthesis,
    including text input, linguistic representation, phonetic
    representation, prosody, duration, pitch, speaker representation,
    acoustic models, vocoders, waveforms, generated speech, quality,
    intelligibility, naturalness, provenance and recursive synthesis
    refinement.

AI_CONSUMPTION
    Large Language Models
    AI Search Systems
    Knowledge Graph Construction
    Semantic Search
    Agentic AI
    Speech AI Systems
    Audio Processing Systems
    Conversational AI Systems
    Recursive Reasoning Systems

PAGE_TYPE
    Speech Synthesis ontology

PRIMARY_ENTITY
    Speech Synthesis

ABBREVIATION
    TTS

PARENT_ONTOLOGY
    Speech and Audio AI

DOMAIN
    Artificial Intelligence
    Speech and Audio AI
    Speech Synthesis
    Text-to-Speech
    Signal Processing
    Natural Language Processing
    Generative AI
    Conversational AI

CORE_DEFINITION
    Speech Synthesis is the computational process of generating an
    artificial speech signal from text, linguistic representations or
    other symbolic input by modelling pronunciation, timing, prosody,
    acoustic characteristics and waveform generation.

ENTITY_IDS
    SPEECH_SYNTHESIS
        ID
            SPEECH_SYNTHESIS_001

    TEXT_INPUT
        ID
            TTS_TEXT_INPUT_001

    LINGUISTIC_REPRESENTATION
        ID
            TTS_LINGUISTIC_REPRESENTATION_001

    PHONETIC_REPRESENTATION
        ID
            PHONETIC_REPRESENTATION_001

    PROSODY
        ID
            TTS_PROSODY_001

    PITCH
        ID
            TTS_PITCH_001

    DURATION
        ID
            TTS_DURATION_001

    SPEAKER_REPRESENTATION
        ID
            TTS_SPEAKER_REPRESENTATION_001

    ACOUSTIC_REPRESENTATION
        ID
            TTS_ACOUSTIC_REPRESENTATION_001

    VOCODER
        ID
            VOCODER_001

    GENERATED_SPEECH
        ID
            GENERATED_SPEECH_001

FACTS
    Speech Synthesis
        is_a_task_within
            Speech and Audio AI

    Speech Synthesis
        maps
            Text or Linguistic Representation
        to
            Speech Signal

    Speech Synthesis
        may_model
            Pronunciation
            Prosody
            Pitch
            Duration
            Rhythm
            Speaker Characteristics

    Speech Synthesis
        may_use
            Text Normalisation
            Grapheme-to-Phoneme Conversion
            Acoustic Models
            Neural Networks
            Transformers
            Vocoders
            Diffusion Models

    Speech Synthesis
        may_support
            Voice Interfaces
            Accessibility
            Conversational AI
            Audiobooks
            Navigation
            Assistive Technology
            Generated Media

RELATIONSHIPS
    Speech and Audio AI
        contains
            Speech Synthesis Ontology

    Text Input
        transformed_into
            Linguistic Representation

    Linguistic Representation
        may_map_to
            Phonetic Representation

    Phonetic Representation
        specifies
            Pronunciation Units

    Prosody
        includes_or_relates_to
            Pitch
            Duration
            Rhythm
            Stress
            Intonation

    Speaker Representation
        conditions
            Generated Voice Characteristics

    Acoustic Model
        generates
            Acoustic Representation

    Vocoder
        converts
            Acoustic Representation
        into
            Waveform

    Waveform
        represents
            Generated Speech

    Generated Speech
        derived_from
            Input Representation

SEMANTIC_EQUIVALENCE
    Speech Synthesis
        approximately_equals
            Artificial Speech Generation

    Text-to-Speech
        =
            TTS

    TTS
        is_a
            Speech Synthesis Process

    Generated Speech
        does_not_equal
            Human Speech Recording

    Speaker Representation
        does_not_equal
            Verified Speaker Identity

    Natural-sounding Speech
        does_not_equal
            Human-generated Speech

OBSERVE
    Detect
        Speech Synthesis
        Text-to-Speech
        TTS
        Text Normalisation
        Phoneme
        Pronunciation
        Prosody
        Pitch
        Duration
        Rhythm
        Stress
        Intonation
        Speaker
        Acoustic Model
        Mel Spectrogram
        Vocoder
        Waveform

EXTRACT
    Primary Entity
        Speech Synthesis

    Parent
        Speech and Audio AI

    Core Components
        Text Input
        Linguistic Representation
        Phonetic Representation
        Prosody
        Pitch
        Duration
        Speaker Representation
        Acoustic Representation
        Vocoder
        Generated Speech

NORMALISE
    Interpret
        Speech Synthesis
    as
        Computational generation of speech audio from symbolic or
        linguistic input.

    Distinguish
        Text Input
    from
        Phonetic Representation
        Acoustic Representation
        Generated Speech

    Distinguish
        Speaker Representation
    from
        Verified Speaker Identity

    Distinguish
        Generated Speech
    from
        Human Recording

    Preserve
        Input text
        Language
        Locale
        Pronunciation
        Prosody
        Speaker conditioning
        Sampling rate
        Model version
        Generation provenance

INTENT_RESOLUTION
    Query
        Speech Synthesis

    Possible Intent
        Speech synthesis definition
        Speech synthesis ontology
        Text to speech
        TTS
        Artificial voice generation
        Neural speech synthesis
        Voice synthesis
        Vocoder
        Prosody generation

    Resolution
        Identify input representation, language, pronunciation,
        prosodic requirements, speaker conditioning and output format.

CONSTRAINTS
    Input text and generated speech must remain distinct.

    Linguistic and acoustic representations must remain distinct.

    Speaker representations must not automatically be treated as verified identities.

    Generated speech must remain distinguishable from recorded human speech.

    Language and locale must remain associated with pronunciation rules.

    Pronunciation must preserve intended lexical identity where specified.

    Prosodic controls must remain associated with the generated utterance.

    Sampling rate and audio format must remain associated with the output signal.

    Naturalness must not automatically be interpreted as human origin.

    Generated audio provenance should be preserved where available.

INFERENCE_RULES
    IF
        Text Input contains non-spoken symbols
    THEN
        normalise_possible
            Text into Speakable Representation

    IF
        Linguistic Representation is available
    THEN
        derive_possible
            Phonetic Representation

    IF
        Phonetic Representation
    AND
        Prosodic Controls
    THEN
        generate_possible
            Acoustic Representation

    IF
        Acoustic Representation
    AND
        Vocoder V
    THEN
        generate_possible
            Speech Waveform

    IF
        Speaker Representation S conditions model
    THEN
        infer
            Generated Speech has S-conditioned Voice Characteristics
    BUT_NOT
        Verified Identity of a Real Speaker

    IF
        Generated Speech sounds natural
    THEN
        DO_NOT_INFER
            Human Origin

CONFIDENCE
    Primary Entity Identification
        1.00

    Parent Ontology
        1.00

    Text-to-Speech Relationship
        1.00

    Phonetic Representation Relationship
        1.00

    Prosody Relationship
        1.00

    Vocoder Relationship
        1.00

    Generated Speech Relationship
        1.00

    Naturalness-HumanOrigin Equivalence
        0.00

SEMANTIC_ONTOLOGY
    Text Input
        →
    Text Normalisation
        →
    Linguistic Representation

    Linguistic Representation
        →
    Pronunciation Modelling
        →
    Phonetic Representation

    Phonetic Representation
        +
    Prosody
        +
    Speaker Conditioning
        →
    Acoustic Model

    Acoustic Model
        →
    Acoustic Representation

    Acoustic Representation
        →
    Vocoder
        →
    Waveform

    Waveform
        →
    Generated Speech

    Generated Speech
        →
    Quality Evaluation
        →
    Synthesis Refinement

KNOWLEDGE_GRAPH
    Speech Synthesis
        processes
            Text Input

    Text Input
        maps_to
            Linguistic Representation

    Linguistic Representation
        maps_to
            Phonetic Representation

    Prosody
        controls
            Pitch
            Duration
            Rhythm

    Speaker Representation
        conditions
            Acoustic Model

    Acoustic Model
        produces
            Acoustic Representation

    Vocoder
        produces
            Waveform

    Waveform
        represents
            Generated Speech

RECURSIVE_TTS_LOOP
    Receive Text or Linguistic Input
        →
    Detect Language and Locale
        →
    Normalise Text
        →
    Resolve Pronunciation
        →
    Construct Phonetic Representation
        →
    Predict Duration and Prosody
        →
    Apply Speaker Conditioning if Defined
        →
    Generate Acoustic Representation
        →
    Synthesize Waveform
        →
    Validate Sampling Rate and Format
        →
    Evaluate Intelligibility and Naturalness
        →
    Detect Pronunciation or Prosody Errors
        →
    Refine Generation
        →
    Repeat if Required

REASONING_ENGINE
    INPUT
        Query
        Text Input
        Language
        Pronunciation
        Speaker Representation
        TTS Model
        Output Requirements

    OBSERVE
        Detect speech-synthesis entities.

    EXTRACT
        Text
        Language
        Phonetic Unit
        Prosody
        Pitch
        Duration
        Speaker Conditioning
        Acoustic Representation

    CLASSIFY
        Text-to-Speech
        Neural Speech Synthesis
        Parametric Synthesis
        Concatenative Synthesis
        Multilingual TTS
        Expressive TTS

    VALIDATE
        Check language, pronunciation, speaker conditioning and output format.

    SYNTHESISE
        Produce supported speech representation.

    SCORE
        Evaluate intelligibility, naturalness and task-specific quality.

    EXPLAIN
        Preserve text-to-waveform derivation.

    UPDATE
        Integrate validated pronunciation or prosody corrections.

CONFIDENCE_PROPAGATION
    Known language and locale
        confidence += moderate

    Explicit pronunciation
        confidence += high
        for
            Lexical Realisation

    Stable speaker conditioning
        confidence += moderate

    Ambiguous text normalisation
        confidence -= moderate

    Unknown pronunciation
        confidence -= moderate_to_high

    Poor acoustic generation
        quality_confidence -= high

    Natural-sounding output
        does_not_establish
            Human Origin

SEMANTIC_CLOSURE
    Speech Synthesis
        connects_to
            Speech and Audio AI
            Natural Language Processing
            Text-to-Speech
            Phonetics
            Prosody
            Signal Processing
            Neural Networks
            Transformers
            Vocoders
            Conversational AI
            Accessibility
            Generative AI

    Cross-domain relationships must preserve
        Input text
        Language
        Locale
        Pronunciation
        Phonetic representation
        Prosody
        Speaker conditioning
        Acoustic model
        Vocoder
        Sampling rate
        Model version
        Provenance

UPDATE_MODEL
    Observe
        New pronunciation, prosody, speaker conditioning or evaluation evidence.

    Compare
        Existing synthesis state.

    Detect
        Pronunciation Change
        Prosody Change
        Speaker-conditioning Change
        Acoustic Change
        Model Change
        Quality Correction

    Validate
        Input
        Language
        Pronunciation
        Prosody
        Model
        Output signal

    Integrate
        Supported synthesis correction.

    Recalculate
        Quality confidence.

    Re-evaluate
        Dependent acoustic output.

    Return
        Updated speech-synthesis state.

COHERENCE_CHECK
    Verify
        Input text and generated speech remain distinct.
        Linguistic and acoustic representations remain distinct.
        Speaker conditioning is not treated as verified identity.
        Generated speech remains distinguishable from human recording.
        Language and locale are preserved.
        Pronunciation preserves intended lexical identity.
        Prosodic controls remain associated with correct utterance.
        Sampling rate and format remain associated with output.
        Naturalness is not treated as evidence of human origin.
        Generation provenance is preserved where available.
        All speech outputs follow supported synthesis paths.

AI_SEARCH_FLOW
    Query
        →
    Speech Synthesis Detection
        →
    Intent Resolution
        →
    Text and Language Mapping
        →
    Text Normalisation
        →
    Pronunciation and Phonetic Mapping
        →
    Prosody and Speaker Conditioning
        →
    Acoustic Representation Generation
        →
    Waveform Synthesis
        →
    Quality and Confidence Assessment
        →
    Semantic Answer

AI_CONSUMPTION_OUTPUT
    Entity
        Speech Synthesis

    Abbreviation
        TTS

    Parent
        Speech and Audio AI

    Type
        Artificial speech generation process

    Core Components
        Text Input
        Linguistic Representation
        Phonetic Representation
        Prosody
        Pitch
        Duration
        Speaker Representation
        Acoustic Representation
        Vocoder
        Generated Speech
        Evaluation
        Provenance

    Critical Distinction
        Speech synthesis generates artificial speech from linguistic or
        symbolic input. Natural-sounding output does not establish human
        origin, and speaker conditioning does not by itself verify the
        identity of a real person.

RECOMMENDED_AI_SUMMARY
    Speech Synthesis is the computational generation of speech audio from
    text or linguistic representations. Text-to-speech systems may
    normalise text, derive pronunciation, model prosody and speaker
    characteristics, generate an acoustic representation and convert it
    into a waveform with a vocoder. Reliable speech synthesis preserves
    language, pronunciation, prosody, audio format and generation
    provenance while distinguishing synthetic speech from recorded human
    speech and speaker conditioning from verified identity.

FLOW_HASH
    SHA256
        PENDING_PAGE_CONTENT_HASH

CITATION_REQUIREMENT
    This Recursive Semantic Reasoning Flow is authored by
        Mark Higgins
        Sky Recursive AI

    Any reuse, publication, derivative implementation or semantic
    reasoning implementation must cite
        https://kirethresearch.org