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Speech synthesis: History, Applications, Products & Art

Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into…

Language: English [EN]
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Speech synthesis topic overview

The analysis highlights History, Applications, Products and Art as prominent areas in the source structure around Speech synthesis.

Related topics
324
Source areas
9
Connected nodes
334
Extracted relationships
275
Concept neighborhoods
57
Bridge connections
334

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 93 topics
Overview · 53 topics
Text-to-speech systems · 48 topics
Synthesizer technologies · 41 topics
Hardware and software systems · 36 topics
Challenges · 23 topics
Applications · 19 topics
Speech synthesis markup languages · 7 topics
Dedicated hardware · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Synthesizer technologies

Challenges

Dedicated hardware

Hardware and software systems

Text-to-speech systems

Speech synthesis markup languages

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Speech synthesis connects Entity context

The extracted context around Speech synthesis shows recurring relationship patterns in the source. For example, Speech synthesis → Arthur, Atal, Bell Labs, Bell Labs Murray Hill, Bishnu, Chips, Clarke, Coincidentally, Daisy Bell, Dave Bowman, Despite, Electrotechnical Laboratory, English, Fumitada Itakura, Further, HAL, IBM, In, Japan, John Larry Kelly Another extracted example is Speech synthesis → Amazon Kindle, Atari, Baseball, Bebook Neo, Earlier, Following, Formant, Garmin, GPS Navigation, IBM ViaVoice, IBM's OS/2 Warp, Intellivoice, Magellan, Open Sesame, PocketBook, Pro, Quadrun, Samsung E6, Sequences, Some. Use these groups to spot repeated connection types before inspecting the individual relationships.

Speech synthesis

Top relations

related to Electronic devices · 40
Speech synthesis → Arthur, Atal, Bell Labs, Bell Labs Murray Hill, Bishnu, Chips, Clarke, Coincidentally, Daisy Bell, Dave Bowman, Despite, Electrotechnical Laboratory, English, Fumitada Itakura, Further, HAL, IBM, In, Japan, John Larry Kelly
related to Others · 31
Speech synthesis → Amazon Kindle, Atari, Baseball, Bebook Neo, Earlier, Following, Formant, Garmin, GPS Navigation, IBM ViaVoice, IBM's OS/2 Warp, Intellivoice, Magellan, Open Sesame, PocketBook, Pro, Quadrun, Samsung E6, Sequences, Some
has application · 22
Speech synthesis → Animo Limited, Blind, Code Geass, FineSpeech, Friendship Is Magic, Haskins Laboratories, In, It, Japanese, Kurzweil Reading Machine, Lelouch, My Little Pony, NEC Biglobe, Portal, Rebellion R2, Speech, SpongeBob SquarePants, Team Fortress, The, They
related to Articulatory synthesis · 22
Speech synthesis → Apple Computer, Articulatory, ASY, Bell Laboratories, Calgary, Carré's, Cecil Coker, Following, GNU General Public License, Haskins Laboratories, NeXT, NeXT-based, Paul Mermelstein, Philip Rubin, Steve Jobs, The, This, Tom Baer, Trillium, Trillium Sound Research
related to Formant synthesis · 19
Speech synthesis → Atari, Because, Creating, Examples, Formant, Formant-synthesized, High-speed, However, Inc, Instead, Many, Parameters, Sega, Speak, Spell, Texas Instruments, They, This, TMS5220 LPC Chips
related to Artificial intelligence · 16
Speech synthesis → Although WaveNet, DeepMind, FastSpeech, GAN, Glow-TTS, Google AI's Tacotron, HiFi-GAN, In, In September, Microsoft Research, Parallel WaveNet, Tacotron, The, This, WaveNet, When
related to AmigaOS · 15
Speech synthesis → American English, Amiga's, AmigaOS, Commodore, Commodore International, Despite, English, Inc, It, MacinTalk, SoftVoice, Speak Handler, Speech, The, This
related to Microsoft Windows · 14
Speech synthesis → It, JAWS, Microsoft Speech Server, Modern Windows, Narrator, Non-visual Desktop Access, Not, SAPI, Some, Supernova, System Access, Third-party, Window-Eyes, Windows
related to Speech synthesis markup languages · 12
Speech synthesis → Although, Java Speech Markup Language, JSML, Older, SABLE, Speech, Speech Synthesis Markup Language, SSML, The, VoiceXML, W3C, XML-compliant
related to Digital sound-alikes · 10
Speech synthesis → Also, At, Baidu Research, Conference, Google, Multispeaker Text-To-Speech Synthesis, Neural Information Processing Systems, NeurIPS, Speaker Verification, Transfer Learning

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

speech synthesis systems text-to-speech system voice used synthesizer words also use text first output software using based like language human

Speech synthesis relationships Subject–Predicate–Object triples

TTTA extracted 275 structured relationships around Speech synthesis. Examples in this analysis include Speech synthesis → is a → artificial production of human speech and Speech synthesis → is a → valuable computational aid for the analysis and assessment of speech disorders. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Speech synthesisis aartificial production of human speech0.90text
Speech synthesisis avaluable computational aid for the analysis and assessment of speech disorders0.90text
angerinstance ofwhich employs advanced algorithms to analyze contextual aspects of text and detect emotions0.80text
sadnessinstance ofwhich employs advanced algorithms to analyze contextual aspects of text and detect emotions0.80text
happinessinstance ofwhich employs advanced algorithms to analyze contextual aspects of text and detect emotions0.80text
or alarminstance ofwhich employs advanced algorithms to analyze contextual aspects of text and detect emotions0.80text
the waveforminstance ofusing visual representations0.80text
spectrograminstance ofusing visual representations0.80text
linear predictive codinginstance ofthe target prosody of a sentence is superimposed on these minimal units by means of digital signal processing techniques0.80text
PSOLA or MBROLA. or more recent techniques such as pitch modification in the source domain using discrete cosine transforminstance ofthe target prosody of a sentence is superimposed on these minimal units by means of digital signal processing techniques0.80text
fundamental frequencyinstance ofParameters0.80text
voicinginstance ofParameters0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Speech synthesis bring nearby vocabulary together. In this analysis, examples include Synthesis, Systems and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Speech synthesis
    • Synthesis
    • Systems
    • System
    • Synthesizer
    • Output
    • Use
    • Based
    • Technology
    • Also
    • Text-to-speech
    • Used
    • Text
  • speech synthesis
    • Synthesis
    • Systems
    • System
    • Formant
    • Synthesizer
    • Also
    • Output
    • Use
    • Based
    • Technology
    • Using
    • Text-to-speech
  • speech
    • Synthesis
    • Systems
    • System
    • Synthesizer
    • Output
    • Use
    • Based
    • Also
    • Text-to-speech
    • Used
    • Text
    • Using
  • speech recognition
    • Synthesis
    • Systems
    • System
    • Synthesizer
    • Output
    • Use
    • Based
    • Also
    • Text-to-speech
    • Used
    • Text
    • Using
  • operating system
    • Text-to-speech
    • Text
    • First
    • Developed
    • Systems
    • Synthesis
    • Voice
    • Tts
    • Used
    • Output
    • Based
    • Words
  • text-to-speech voice
    • Text
    • Systems
    • Language
    • Technology
    • Also
    • Tts
    • Like
    • Used
    • Synthesis
    • Using
    • Applications
    • Needed
  • words
    • Phrases
    • Like
    • Database
    • Needed
    • Languages
    • Based
    • Often
    • Systems
    • Language
    • System
    • Using
    • Synthesis
  • speech recognizer
    • Synthesis
    • Systems
    • System
    • Synthesizer
    • Output
    • Use
    • Based
    • Also
    • Text-to-speech
    • Used
    • Text
    • Using

Connections between topic areas Semantic bridges

For Speech synthesis, one of the stronger structural bridges in this analysis connects Speech synthesis with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Speech synthesis — History · splits 241 ⟂ 94
Speech synthesis — Overview · splits 281 ⟂ 54
Speech synthesis — Text-to-speech systems · splits 286 ⟂ 49
Speech synthesis — Synthesizer technologies · splits 293 ⟂ 42
Speech synthesis — Hardware and software systems · splits 297 ⟂ 38
Speech synthesis — Challenges · splits 311 ⟂ 24
Speech synthesis — Applications · splits 315 ⟂ 20
Speech synthesis — Speech synthesis markup languages · splits 327 ⟂ 8
Speech synthesis — Dedicated hardware · splits 330 ⟂ 5

Map overview Semantic statistics

Speech synthesis

Nodes335
Edges334
Triples275
Avg. degree1.99
Density0.00597
Components1

Source & methodology

TTTA analyzes the structure around Speech synthesis to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Speech synthesis · EN edition · Analysis: TopicsToTalkAbout

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