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Wikipedia / ESpeak

eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer. It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.

Because of its small size and many languages, eSpeakNG is included in NVDA open source screen reader for Windows, as well as Android, Ubuntu and other Linux distributions. Its predecessor eSpeak was recommended by Microsoft in 2016 and was used by Google Translate for 27 languages in 2010; 17 of these were subsequently replaced by proprietary voices.

The quality of the language voices varies greatly. In eSpeakNG's predecessor eSpeak, the initial versions of some languages were based on information found on Wikipedia. Some languages have had more work or feedback from native speakers than others. Most of the people who have helped to improve the various languages are blind users of text-to-speech.

History

In 1995, Jonathan Duddington released the Speak speech synthesizer for RISC OS computers supporting British English. On 17 February 2006, Speak 1.05 was released under the GPLv2 license, initially for Linux, with a Windows SAPI 5 version added in January 2007. Development on Speak continued until version 1.14, when it was renamed to eSpeak.

Development of eSpeak continued from 1.16 (there was not a 1.15 release) with the addition of an eSpeakEdit program for editing and building the eSpeak voice data. These were only available as separate source and binary downloads up to eSpeak 1.24. The 1.24.02 version of eSpeak was the first version of eSpeak to be version controlled using subversion, with separate source and binary downloads made available on SourceForge. From eSpeak 1.27, eSpeak was updated to use the GPLv3 license. The last official eSpeak release was 1.48.04 for Windows and Linux, 1.47.06 for RISC OS and 1.45.04 for macOS. The last development release of eSpeak was 1.48.15 on 16 April 2015.

eSpeak uses the Usenet scheme to represent phonemes with ASCII characters.

eSpeak NG

On 25 June 2010, Reece Dunn started a fork of eSpeak on GitHub using the 1.43.46 release. This started off as an effort to make it easier to build eSpeak on Linux and other POSIX platforms.

On 4 October 2015 (6 months after the 1.48.15 release of eSpeak), this fork started diverging more significantly from the original eSpeak.

On 8 December 2015, there were discussions on the eSpeak mailing list about the lack of activity from Jonathan Duddington over the previous 8 months from the last eSpeak development release. This evolved into discussions of continuing development of eSpeak in Jonathan's absence. The result of this was the creation of the espeak-ng (Next Generation) fork, using the GitHub version of eSpeak as the basis for future development.

On 11 December 2015, the espeak-ng fork was started. The first release of espeak-ng was 1.49.0 on 10 September 2016, containing significant code cleanup, bug fixes, and language updates.

Features

eSpeakNG can be used as a command-line program, or as a shared library.

It supports Speech Synthesis Markup Language (SSML).

Language voices are identified by the language's ISO 639-1 code. They can be modified by "voice variants". These are text files which can change characteristics such as pitch range, add effects such as echo, whisper and croaky voice, or make systematic adjustments to formant frequencies to change the sound of the voice. For example, "af" is the Afrikaans voice. "af+f2" is the Afrikaans voice modified with the "f2" voice variant which changes the formants and the pitch range to give a female sound.

eSpeakNG uses an ASCII representation of phoneme names which is loosely based on the Usenet system.

" will say in English.

Synthesis method

eSpeakNG can be used as a text-to-speech translator in different ways, depending on which text-to-speech translation step the user wants to use.

1. step – text to phoneme translation

There are many languages (notably English) which do not have straightforward one-to-one rules between writing and pronunciation; therefore, the first step in text-to-speech generation has to be text-to-phoneme translation.

  1. input text is translated into pronunciation phonemes (e.g. input text xerox is translated into for pronunciation).

  2. pronunciation phonemes are synthesized into sound e.g., is voiced as

To add intonation for speech i.e. prosody data are necessary (e.g. stress of syllable, falling or rising pitch of basic frequency, pause, etc.) and other information, which allows to synthesize more human, non-monotonous speech. E.g. in eSpeakNG format stressed syllable is added using apostrophe: which provides more natural speech:

For comparison two samples with and without prosody data:

  1. is spelled

  2. is spelled

If eSpeakNG is used for generation of prosody data only, then prosody data can be used as input for MBROLA diphone voices.

2. step – sound synthesis from prosody data

The eSpeakNG provides two different types of formant speech synthesis using its two different approaches. With its own eSpeakNG synthesizer and a Klatt synthesizer:

  1. The eSpeakNG synthesizer creates voiced speech sounds such as vowels and sonorant consonants by additive synthesis adding together sine waves to make the total sound. Unvoiced consonants e.g. /s/ are made by playing recorded sounds, because they are rich in harmonics, which makes additive synthesis less effective. Voiced consonants such as /z/ are made by mixing a synthesized voiced sound with a recorded sample of unvoiced sound.

  2. The Klatt synthesizer mostly uses the same formant data as the eSpeakNG synthesizer. But, it also produces sounds by subtractive synthesis by starting with generated noise, which is rich in harmonics, and then applying digital filters and enveloping to filter out necessary frequency spectrum and sound envelope for particular consonant (s, t, k) or sonorant (l, m, n) sound.

For the MBROLA voices, eSpeakNG converts the text to phonemes and associated pitch contours. It passes this to the MBROLA program using the PHO file format, capturing the audio created in output by MBROLA. That audio is then handled by eSpeakNG.

Languages

eSpeakNG performs text-to-speech synthesis for the following languages:

  1. Afrikaans

  2. Albanian

  3. Amharic

  4. Ancient Greek

  5. Arabic

  6. Aragonese

  7. Armenian (Eastern)

  8. Armenian (Western)

  9. Assamese

  10. Azerbaijani

  11. Bashkir

  12. Basque

  13. Belarusian

  14. Belter Creole

  15. Bengali

  16. Bishnupriya Manipuri

  17. Bosnian

  18. Bulgarian

  19. Burmese

  20. Cantonese

  21. Catalan

  22. Cherokee

  23. Chinese (Hakka)

  24. Chinese (Mandarin)

  25. Chuvash

  26. Croatian

  27. Czech

  28. Danish

  29. Dutch

  30. English (American)

  31. English (British)

  32. English (Caribbean)

  33. English (Lancastrian)

  34. English (New York City)

  35. English (Received Pronunciation)

  36. English (Scottish)

  37. English (West Midlands)

  38. Esperanto

  39. Estonian

  40. Finnish

  41. French (Belgian)

  42. French (France)

  43. French (Swiss)

  44. Georgian

  45. German

  46. Greek (Modern)

  47. Greenlandic

  48. Guarani

  49. Gujarati

  50. Haitian Creole

  51. Hawaiian

  52. Hebrew

  53. Hindi

  54. Hungarian

  55. Icelandic

  56. Ido

  57. Indonesian

  58. Interlingua

  59. Irish

  60. Italian

  61. Japanese

  62. Kannada

  63. Kazakh

  64. Kʼicheʼ

  65. Klingon

  66. Konkani

  67. Korean

  68. Kurdish

  69. Kyrgyz

  70. Latgalian

  71. Latin

  72. Latvian

  73. Lingua Franca Nova

  74. Lithuanian

  75. Lojban

  76. Luxembourgish

  77. Macedonian

  78. Malay

  79. Malayalam

  80. Maltese

  81. Māori

  82. Marathi

  83. Nahuatl (Classical)

  84. Nepali

  85. Nogai

  86. Norwegian (Bokmål)

  87. Oriya

  88. Oromo

  89. Papiamento

  90. Persian

  91. Persian (Latin)

  92. Polish

  93. Portuguese (Brazilian)

  94. Portuguese (Portugal)

  95. Punjabi

  96. Pyash (a constructed language)

  97. Quechua

  98. Quenya

  99. Romanian

  100. Russian

  101. Russian (Latvia)

  102. Saami (Lule)

  103. Scottish Gaelic

  104. Serbian

  105. Setswana

  106. Shan (Tai Yai)

  107. Sindarin

  108. Sindhi

  109. Sinhala

  110. Slovak

  111. Slovenian

  112. Spanish (Latin American)

  113. Spanish (Spain)

  114. Swahili

  115. Swedish

  116. Tamil

  117. Tatar

  118. Telugu

  119. Thai

  120. Turkish

  121. Turkmen

  122. Ukrainian

  123. Urdu

  124. Uyghur

  125. Uzbek

  126. Vietnamese (Central)

  127. Vietnamese (Northern)

  128. Vietnamese (Southern)

  129. Welsh

Notes

See also

References