Speech synthesis

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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: 322
Source areas: 9
Connected nodes: 332
Extracted relationships: 231
Related term clusters: 57
Bridge connections: 332

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 · 40 topics

Hardware and software systems · 35 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.

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Speech synthesis

6Speech · Software · Computer hardware

9Input method · Front and back ends · Text normalization

20Concatenative synthesis · Database · Phone (phonetics)

6Spelling · Phoneme · Linguists

5Franklin S. Cooper · Haskins Laboratories · Pattern playback

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

Dedicated hardware

Speech synthesis markup languages

Applications

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

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, HAL, IBM, Japan, John Larry Kelly, John Pierce, Jr 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, Speech Synthesizer. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Electronic devices · 37

Speech synthesis → Arthur, Atal, Bell Labs, Bell Labs Murray Hill, Bishnu, Chips, Clarke, Coincidentally, Daisy Bell, Dave Bowman, Despite, Electrotechnical Laboratory, English, Fumitada Itakura, HAL, IBM, Japan, John Larry Kelly, John Pierce, Jr

related to Others · 30

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, Speech Synthesizer

related to Articulatory synthesis · 19

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, Tom Baer, Trillium, Trillium Sound Research, University

has application · 18

Speech synthesis → Animo Limited, Blind, Code Geass, FineSpeech, Friendship Is Magic, Haskins Laboratories, Japanese, Kurzweil Reading Machine, Lelouch, My Little Pony, NEC Biglobe, Portal, Rebellion R2, Speech, SpongeBob SquarePants, Team Fortress, Votrax, Work

related to Formant synthesis · 14

Speech synthesis → Atari, Creating, Examples, Formant, Formant-synthesized, High-speed, Inc, Many, Parameters, Sega, Speak, Spell, Texas Instruments, TMS5220 LPC Chips

related to AmigaOS · 12

Speech synthesis → American English, Amiga's, AmigaOS, Commodore, Commodore International, Despite, English, Inc, MacinTalk, SoftVoice, Speak Handler, Speech

related to Artificial intelligence · 12

Speech synthesis → Although WaveNet, DeepMind, FastSpeech, GAN, Glow-TTS, Google AI's Tacotron, HiFi-GAN, In September, Microsoft Research, Parallel WaveNet, Tacotron, WaveNet

related to Microsoft Windows · 11

Speech synthesis → JAWS, Microsoft Speech Server, Modern Windows, Narrator, Non-visual Desktop Access, SAPI, Supernova, System Access, Third-party, Window-Eyes, Windows

related to Speech synthesis markup languages · 11

Speech synthesis → Although, Java Speech Markup Language, JSML, Older, SABLE, Speech, Speech Synthesis Markup Language, SSML, VoiceXML, W3C, XML-compliant

related to Digital sound-alikes · 9

Speech synthesis → Also, 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 output software using based like language human phrases

Speech synthesis relationships Subject–Predicate–Object triples

TTTA extracted 231 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.

Subject	Predicate	Object	Confidence	Src
Speech synthesis	is a	artificial production of human speech	0.90	text
Speech synthesis	is a	valuable computational aid for the analysis and assessment of speech disorders	0.90	text
anger	instance of	which employs advanced algorithms to analyze contextual aspects of text and detect emotions	0.80	text
sadness	instance of	which employs advanced algorithms to analyze contextual aspects of text and detect emotions	0.80	text
happiness	instance of	which employs advanced algorithms to analyze contextual aspects of text and detect emotions	0.80	text
or alarm	instance of	which employs advanced algorithms to analyze contextual aspects of text and detect emotions	0.80	text
the waveform	instance of	using visual representations	0.80	text
spectrogram	instance of	using visual representations	0.80	text
linear predictive coding	instance of	the target prosody of a sentence is superimposed on these minimal units by means of digital signal processing techniques	0.80	text
PSOLA or MBROLA. or more recent techniques such as pitch modification in the source domain using discrete cosine transform	instance of	the target prosody of a sentence is superimposed on these minimal units by means of digital signal processing techniques	0.80	text
fundamental frequency	instance of	Parameters	0.80	text
voicing	instance of	Parameters	0.80	text

Related concept clusters Related term clusters

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
additive synthesis
- Systems
- Formant
- Also
- Use
- Based
- System
- Technology
- Using
- Text-to-speech
- Used
- Voice
- Techniques
physical modelling synthesis
- Systems
- Formant
- Also
- Use
- Based
- System
- Technology
- Using
- Text-to-speech
- Used
- Voice
- Techniques
command-line based
- Models
- Speech
- Synthesis
- Words
- Called
- Often
- Vocal
- Work
- Language
- Human
- Technology
- Tts
voice output communication aid
- Speech
- Technology
- Vocal
- Systems
- Tts
- System
- Voice
- Using
- Text
- Also
- Synthesizer
- Work
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

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 239 ⟂ 94

Speech synthesis — Overview · splits 279 ⟂ 54

Speech synthesis — Text-to-speech systems · splits 284 ⟂ 49

Speech synthesis — Synthesizer technologies · splits 292 ⟂ 41

Speech synthesis — Hardware and software systems · splits 296 ⟂ 37

Speech synthesis — Challenges · splits 309 ⟂ 24

Speech synthesis — Applications · splits 313 ⟂ 20

Speech synthesis — Speech synthesis markup languages · splits 325 ⟂ 8

Speech synthesis — Dedicated hardware · splits 328 ⟂ 5

Map overview Semantic statistics

Speech synthesis

Nodes333

Edges332

Triples231

Avg. degree1.99

Density0.006006

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

Speech synthesis: History, Applications, Products & Art

Speech synthesis topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Synthesizer technologies

Challenges

Dedicated hardware

Hardware and software systems

Text-to-speech systems

Speech synthesis markup languages

Applications

For the semantics nerds

Advanced semantic analysis

How Speech synthesis connects Entity context

Speech synthesis

Top relations

Important terminology

Important terminology

Speech synthesis relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Speech synthesis

Source & methodology