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Akaụntụ
Anyị enweghị ụda TTS n'asụsụ gị kemgbe. Meekwa ka anyị tinye gị! Kpọnye ụda gị

Kpọlite TTS maka asụsụ niile

Anyị na-achọ naanị awa 2 nke ndekọ n'asụsụ ọbụla iji zụlite TTS model. Biko nyere ụda gị aka iji mepụta n'efu, ngwe-na-asụsụ n'asụsụ 100 niile.

32 Asụsụ ndị a akwadoghị 68 Asụsụ chọrọ enyemaka gị
1

Ndesịta ozi ndị ahụ

Gụọ okwu n'asụsụ gị site na iji microphone gị. Ntọhapụ ọbụla na-ewe sekọnd 5-15.

2

Anyị na-akụzi

Mgbe anyị na-echekwa 2+ awa nke ụda dị mma n'asụsụ ọ bụla, anyị na-ewepụ ihe atụ TTS na data. Ihe atụ a na-ebipụta na-emeghe.

3

Nlekọta

Model ahụ ejirila n'ọrụ ga-adị na TTS.ai maka n'efu. Ndị na-enyere aka ga-enweta akara 1,000 kwa ntọala a na-anabata.

Nlegharị asụsụ

Afrikaans
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Albanian
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Amharic
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Armenian
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Assamese
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Azerbaijani
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Basque
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Belarusian
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Bengali
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Bosnian
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Bulgarian
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Burmese
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Catalan
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Chichewa
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Croatian
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Esperanto
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Estonian
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Filipino
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Galician
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Gujarati
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Haitian Creole
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Hausa
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Hebrew
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Igbo
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Indonesian
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Irish
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Javanese
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Kannada
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Khmer
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Kinyarwanda
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Kurdish
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Kyrgyz
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Lao
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Latvian
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Lithuanian
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Luxembourgish
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Macedonian
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Malagasy
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Malay
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Malayalam
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Maltese
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Maori
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Marathi
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Mongolian
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Odia
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Pashto
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Persian
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Punjabi
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Shona
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Sindhi
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Sinhala
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Slovenian
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Somali
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Sundanese
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Tajik
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Tamil
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Tatar
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Telugu
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Thai
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Turkmen
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Urdu
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Uyghur
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Uzbek
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Welsh
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Xhosa
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Yiddish
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Yoruba
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Zulu
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Arabic
TTS dịnụ
Chinese
TTS dịnụ
Czech
TTS dịnụ
Danish
TTS dịnụ
Dutch
TTS dịnụ
English
TTS dịnụ
Finnish
TTS dịnụ
French
TTS dịnụ
Georgian
TTS dịnụ
German
TTS dịnụ
Greek
TTS dịnụ
Hindi
TTS dịnụ
Hungarian
TTS dịnụ
Icelandic
TTS dịnụ
Italian
TTS dịnụ
Japanese
TTS dịnụ
Kazakh
TTS dịnụ
Korean
TTS dịnụ
Nepali
TTS dịnụ
Norwegian
TTS dịnụ
Polish
TTS dịnụ
Portuguese
TTS dịnụ
Romanian
TTS dịnụ
Russian
TTS dịnụ
Serbian
TTS dịnụ
Slovak
TTS dịnụ
Spanish
TTS dịnụ
Swahili
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Swedish
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Turkish
TTS dịnụ
Ukrainian
TTS dịnụ
Vietnamese
TTS dịnụ

Kpọnye n'ihe nlereanya

Kewapụta akaụntụ ọbụla iji malite ịnabata ụda gị. Ntọala gị na-enyere aka ịmepụta ụdị TTS ọbụla maka onye ọbụla.

Akaụntụ

Ịsụgharị asụsụ émēghị̀ n'aka?

I nwekwara ike inyere aka site n'ịkekọrịta ụda gị n'ihi ndị ọzọ ka ha jiri ya. Bipụta ụda na-edebe ma nye ndị otu ohere imepụta ụda gị maka usoroiheomume TTS ha.

Kpọnye ụda gị

Ajụjụ ndị a na-ajụkarị

Program nke nlekọta ụda na-enye gị ohere ịnye ndekọ ụda n'ime oge nkeji ole na ole iji nyere aka mepụta ọbụla, oghe-ọnụ ụzọ TTS maka asụsụ ndị na-enweghị nkwado ugbua. Ndekọ gị na-enyere aka ịzụlite ụda AI nke onye ọbụla nwere ike iji.

Họrọ asụsụ gị, mgbe ahụ gụọ ahịrịokwu n'asụsụ gị site n'iji microphone gị. Rekọ́ọ̀tụ̀ọ́ ọbụla dị sekọnd 5-15. I nwere ike inyere aka dịka ọbụla ma ọ bụ dị ka ọbụla ịchọrọ. Rekọ́ọ̀tụ̀ọ̀ niile a na-anabata ga-aga n'ihu ịzụlite model TTS n'efu maka asụsụ gị.

Ntọhapụ a na-anabata na-ejikarị eme ihe iji zụlite okporo ụzọ TTS. Ntọhapụ ndị a na-akụziri n'okpuru Apache 2.0 ikikembanye na GitHub na HuggingFace. Ntọhapụ gị anaghị ere ma ọ bụ jikọta na ndị ọzọ. Ndị na-enyere aka na-egosipụta na ntọhapụ nke móòdù ahụ.

Anyị na-akwado asụsụ 32 na TTS. Asụsụ ndị ọzọ na-adịchaghị na saịtị anyị chọrọ ozi olu n'ime obodo. Ihu ọrụ na-egosi n'ihu n'ihu maka asụsụ ọ bụla - asụsụ ndị dị nso na oge ha na-atụ anya na-eburu n'uche maka nkuzi.

Anyị na-atụ anya awa 20 nke ntọala n'asụsụ ọ bụla maka ụdị onye na-ekwu okwu dị mma. Na 100+ ndị na-enye aka na-edekọ 10-15 nkeji, anyị nwere ike ịbịaru ihe achọrọ. Ọbụna obere ntọala na-enyere aka - ntọala ọ bụla na-ewetara anyị nso.

Ee! Ndị na-enyere aka na-enweta akara 1,000 maka ntọhapụ ọbụla a na-anabata. Ndị na-enyere aka kacha elu na-enweta "Voice Pioneer" báà nakwa a na-egosipụta ha na móòdù a na-akụziri ha. I nwekwara ike ịnabata ntọhapụ oge mbụ na módù TTS asụsụ gị tupú ọbụla a pụta.

Ee! Ndebata ndị ọzọ na-eme ka ogo dịkwuo mma. Nkwado maka asụsụ ndị a na-akwado na-enyere anyị aka imepụta ụdị ndị na-ekwu okwu ọtụtụ na-enwe ụda dị iche iche, ụda ndị dị mma, nakwa ihe ndị dị mma.

Ụlọ na-anụ ọkụ n'obi nakwa maịkrọfon ọbụla - ọbụla ekwentị mọọbụ laptọọpụ maịkrọfon na-arụ ọrụ. Maka ọganihu kacha mma, jiri heịdsetị mọọbụ USB maịkrọfon. Kwụsị ụda okpuru, echo, nakwa ụdaolu ndị dị iche iche. Sistemụ ga-enyocha ọganihu ụda gị tupù ịnabata ya.

Rekọ́ọ̀tụ̀ọ̀ niile na-aga n'ihu n'ịhụ na ọ bụ nke ọma: akara-na-anụ ọkụ n'obi (SNR> 20dB), Whisper transcript na-atọ n'obi n'ebe ahụ achọrọ, oge n'ime n'ebe achọrọ, nakwa nchọpụta onyeọsụsụ. Rekọ́ọ̀tụ̀ọ̀ ndị na-akwụsịghị akwụsị ga-enwe ike ịrụgharị.

I nwere ike ịhụ n'ihu interfaịlụ nkwalite n'enweghị akaụntụ, mana ndekọ ndị ahụ na-ejikọta na akaụntụ TTS.ai gị ka anyị wee nwee ike ịnabata gị n'ụzọ ziri ezi ma soro nkwalite gị. Nbanye bụ n'efu ma na-ewe sekọnd 30.

Mgbe a asụsụ accumulates zuru ezu data (dịka ọmụmaatụ 20 + awa), anyị otu na-amalite model training. Training na-ewe 1-2 izu na anyị GPU cluster. The resulting model is tested, published on HuggingFace under Apache 2.0, and added to TTS.ai for everyone to use.

Ee. Dashboard nke nkwalite na-egosi usoroiheomume bara maka asụsụ ọbụla, gụnyere ndekọ niile, awa e mepụtara, ọnụọgụgụ ndị na-enye nkwalite, na pasentị n'ihu nlele. I nwekwara ike ịhụ ozi nkeonwe nke nkwalite gị.
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