"음성 합성"의 두 판 사이의 차이

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===위키데이터===
 
===위키데이터===
 
* ID :  [https://www.wikidata.org/wiki/Q16346 Q16346]
 
* ID :  [https://www.wikidata.org/wiki/Q16346 Q16346]
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===Spacy 패턴 목록===
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* [{'LOWER': 'speech'}, {'LEMMA': 'synthesis'}]
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* [{'LOWER': 'text'}, {'OP': '*'}, {'LOWER': 'to'}, {'OP': '*'}, {'LEMMA': 'speech'}]
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* [{'LOWER': 'computer'}, {'LOWER': 'generated'}, {'LEMMA': 'speech'}]

2021년 2월 16일 (화) 23:43 기준 최신판

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말뭉치

  1. Nowadays the goal of TTS — the Text-to-Speech conversion technology — is not to simply have machines talk, but to make them sound like humans of different ages and gender.[1]
  2. influence the approaches to speech synthesis that was evolving through years in response to the recent trends and new possibilities in data collection and processing.[1]
  3. Singing Voice Synthesis is the type of speech synthesis that fits the best opportunities of concatenative TTS.[1]
  4. One of the most famous examples is espeak-ng, an open-source multilingual speech synthesis system based on the Klatt synthesizer.[1]
  5. Artificial production of human speech is known as speech synthesis.[2]
  6. These two approaches represent the old way of doing speech synthesis.[2]
  7. An intelligible text-to-speech program allows people with visual impairments or reading disabilities to listen to written words on a home computer.[3]
  8. In 1975, MUSA was released, and was one of the first Speech Synthesis systems.[3]
  9. electronics featuring speech synthesis began emerging in the 1970s.[3]
  10. Until recently, articulatory synthesis models have not been incorporated into commercial speech synthesis systems.[3]
  11. Custom Voice (beta) Train a custom speech synthesis model using your own audio recordings to create a unique and more natural-sounding voice for your organization.[4]
  12. This chapter will explain the mechanism of a state-of-the-art TTS system after a brief introduction to some conventional speech synthesis methods with their advantages and weaknesses.[5]
  13. To configure the SpeechSynthesizer to use one of the installed speech synthesis (text-to-speech) voices, use the SelectVoice or SelectVoiceByHints method.[6]
  14. The speech synthesis module generates the waveform of the target speech according to the output of the parameter prediction module by using a particular synthesis algorithm.[7]
  15. Three experiments are reported that use new experimental methods for the evaluation of text-to-speech (TTS) synthesis from the user's perspective.[8]
  16. This paper discusses the implementation details of a child friendly, good quality, English text-to-speech (TTS) system that is phoneme-based, concatenative, easy to set up and use with little memory.[9]
  17. The Web Speech API adds voice recognition (speech to text) and speech synthesis (text to speech) to JavaScript.[10]
  18. Note: Depending on the platform, Chrome might have to be online for the speech synthesis to work.[10]
  19. Unfortunately, it used an undocumented (and unofficial API) to perform the speech synthesis.[10]
  20. CereProc has developed the world's most advanced text to speech technology.[11]
  21. CereProc is a Scottish company, based in Edinburgh, the home of advanced speech synthesis research, with a sales office in London.[11]
  22. VoiceLoop is a neural text-to-speech (TTS) that is able to transform text to speech in voices that are sampled in the wild.[12]
  23. Use the chrome.tts API to play synthesized text-to-speech (TTS).[13]
  24. Chrome provides native support for speech on Windows (using SAPI 5), Mac OS X, and Chrome OS, using speech synthesis capabilities provided by the operating system.[13]
  25. On most Windows, Mac OS X, and Chrome OS systems, speech synthesis provided by the operating system should be able to speak any text in at least one language.[13]
  26. As a whole it offers full text to speech through a number APIs: from shell level, though a Scheme command interpreter, as a C++ library, from Java, and an Emacs interface.[14]
  27. In this satisfying book, Taylor joins concepts from three different areas of text-to-speech (TTS) research: electrical engineering, computer science, and linguistics.[15]
  28. A text-to-speech system, which converts written text into synthesized speech, is what allows Alexa to respond verbally to requests or commands.[16]
  29. In user studies, people tend to find speech produced by neural text-to-speech (NTTS) systems more natural-sounding than speech produced by unit selection.[16]
  30. At this year’s Interspeech, two new papers from the Amazon Text-to-Speech group further demonstrate the adaptability of NTTS.[16]
  31. Our first paper, on prosody transfer, is titled “Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-to-Speech”.[16]
  32. Speech synthesis (also abbreviated as TTS, Text-to-Speech), unlike speech recognition, is not a technology that exploits the voice, it produces it.[17]
  33. Speech synthesis (TTS) is defined as the artificial production of human voices.[17]
  34. Speech synthesis should not be confused with voice response systems, which are generally used in public transport for example.[17]
  35. Speech synthesis can be found in a multitude of applications.[17]
  36. Speech synthesis is the technology of generating speech from an input.[18]
  37. This thesis focuses on the voice cloning task which is the developing of a speech synthesis system with an emphasis on speaker identity and data efficiency.[18]
  38. Apps targeting Android 11 that use text-to-speech should declare TextToSpeech.[19]
  39. () Gets the package name of the default speech synthesis engine.[19]
  40. ( getDefaultVoice() ) Returns a Locale instance describing the language currently being used as the default Text-to-speech language.[19]
  41. 21 public Voice getDefaultVoice () Returns a Voice instance that's the default voice for the default Text-to-speech language.[19]

소스

  1. ↑ 1.0 1.1 1.2 1.3 Text-to-Speech Synthesis: an Overview
  2. ↑ 2.0 2.1 A 2019 Guide to Speech Synthesis with Deep Learning
  3. ↑ 3.0 3.1 3.2 3.3 Speech synthesis
  4. ↑ Text-to-Speech: Lifelike Speech Synthesis
  5. ↑ Text-to-Speech Synthesis
  6. ↑ SpeechSynthesizer Class (System.Speech.Synthesis)
  7. ↑ A Review of Deep Learning Based Speech Synthesis
  8. ↑ On-line experimental methods to evaluate text-to-speech (TTS) synthesis: effects of voice gender and signal quality on intelligibility, naturalness and preference
  9. ↑ Developing a Child Friendly Text-to-Speech System
  10. ↑ 10.0 10.1 10.2 Web apps that talk - Introduction to the Speech Synthesis API
  11. ↑ 11.0 11.1 CereProc Text-to-Speech
  12. ↑ Facebook Research
  13. ↑ 13.0 13.1 13.2 Chrome Developers
  14. ↑ Festival
  15. ↑ Text-to-Speech Synthesis
  16. ↑ 16.0 16.1 16.2 16.3 Neural Text-to-Speech Makes Speech Synthesizers Much More Versatile
  17. ↑ 17.0 17.1 17.2 17.3 Speech synthesis (TTS), why is it so important ? – Vivoka
  18. ↑ 18.0 18.1 Text-to-Speech Synthesis
  19. ↑ 19.0 19.1 19.2 19.3 Android Developers

메타데이터

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Spacy 패턴 목록

  • [{'LOWER': 'speech'}, {'LEMMA': 'synthesis'}]
  • [{'LOWER': 'text'}, {'OP': '*'}, {'LOWER': 'to'}, {'OP': '*'}, {'LEMMA': 'speech'}]
  • [{'LOWER': 'computer'}, {'LOWER': 'generated'}, {'LEMMA': 'speech'}]
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