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Gịnị bụ ngwe ka ọsụsọ (TTS)?

Tọghata ngwe ka okwu bụ teknụzụ na-atụgharị ngwe e bipụtara ka ọ bụrụ ụda e bipụtara site n'iji nghọta nke mmadụ. Site n'ọdịnihu nke robotic synthesizers ruo n'ụdị netwọk nke a na-eji n'oge a na-aghọtaghị ụda site n'aka mmadụ, TTS atụgharịala ụzọ anyị na-arụkọ ọrụ na teknụzụ, na-eji ihenhọrọ, nakwa na-eme ka ozi dị mfe ịga.

Teknụzụ Agụgụala Otú ọ dị Neural Networks Evolution
Nweta Free Gosi ọnụahịa

Nhazi ndị dị mkpa na ngwe ka ọsụsọ

Na-aghọta ihe ndị na-ebugharị nke nsụgharị okwu ọfụụ

Gịnị bụ TTS

TTS bụ maka Text-to-Speech - teknụzụ nke na-atụgharị ngwe e bipụtara ka ọ bụrụ ụda e kwuru site n'iji ụda ndị e bipụtara na kọmputa.

Otú Neural TTS si arụ ọrụ

Modern TTS na-eji deep neural netwọk iji nyochaa ngwe, na-atụ anya ụkpụrụ okwu, na-emepụta ụda waveforms na-atọ ụtọ dị ka mmadụ.

Agụgụala nke nsụgharị okwu

Site na 1960s rule-based systems ruo 1990s concatenative synthesis ruo n'ọdịnihu neural models - otu TTS si agbanwe n'ime afọ iri ise.

Ụdị AI ọfụụ

Modelsdị taa dị ka Kokoro, Bark, na CosyVoice 2 na-eji transformers, diffusion, na variation inference iji nweta mma okwu nke mmadụ.

Usoroiheomume a na-ejikarị

TTS na-enye ike ndị na-agụ ihuenyo, GPS navigation, virtual assistants, audiobooks, bots ọrụ ndị ahịa, e-learning platforms, na ịmepụta ọdịnaya.

Open Source vs Commercial

Open-source models (MIT, Apache 2.0) na-enye free, self-hostable TTS ebe ọrụ azụmahịa na-enye APIs na SLAs na nkwado.

TTS Models dị na TTS.ai

Site n'ọfụụ na nkịtị gaa na ụda nkịtị nke studio-quality

KokoroKokoro

Free

Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.

Fast 5/5

Ọkachasị maka: State-of-the-art obere móòdù - na-egosi ka n'ebe dị anya neural TTS bịaara

Nwapụta Kokoro

BarkBark

Standard

Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.

Slow 4/5

Ọkachasị maka: Transform-based model na-egosi ụda ọfụụ n'okpuru okwu

Nwapụta Bark

CosyVoice 2CosyVoice 2

Standard

Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.

Medium 5/5 Klọnsị ụda

Ọkachasị maka: TTS na-ebido na mmanya-n'otu na-enweghị-n'otu

Nwapụta CosyVoice 2

ChatterboxChatterbox

Premium

State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.

Medium 5/5 Klọnsị ụda

Ọkachasị maka: Zọro-shot ụda kọlọn na-egosi ugwu nke ụda sintesi

Nwapụta Chatterbox

Tortoise TTSTortoise TTS

Premium

Multi-voice text-to-speech focused on quality with autoregressive architecture.

Slow 5/5 Klọnsị ụda

Ọkachasị maka: Autoregressive architecture prioritizing maximum audio quality

Nwapụta Tortoise TTS

Otú Neural TTS si arụ ọrụ

Nsụgharị okwu nke oge a na-ahazi n'ime nzọụkwụ anọ

1

Aghọta Báà

TTS na-atụgharị ngwe e bipụtara ka ọ bụrụ ụda a na-ekwu. Sistemụ ndị ọfụụ na-eji netwọk nkịtị nke a zụlitere n'ụbọchị ole na ole nke ụda mmadụ.

2

Nwalee móòdù dị iche iche

TTS model ọ bụla na-eji dị iche iche architecture (transformer, diffusion, variational) na pụrụ iche ike na ọsọ, àgwà, na atụmatụ.

3

Jiri ya onwe gị

N'ụzọ kacha mma iji mara TTS bụ iji ya. Jiri usoro anyị n'efu n'elu - pịa ngwe ọbụla ma hụ ya n'ime sekọnd.

4

Kpọchie na ákàrà gị

Mgbe ị na-ahụ a model ị chọrọ, iji anyị API iji jikọta TTS na gị ngwa, ngwaahịa, ma ọ bụ ọdịnaya creation workflow.

A Brief History of Text to Speech

Site n'ime igwe na-ekwu okwu mechaịnik ruo n'ime netwọk neural

Early Days (1950s-1980s)

Okwu mbụ e mepụtara site na kọmputa bụ n'afọ 1961, mgbe IBM

Sistemụ ndị mara mma: Votrax (1970s), DECtalk (1984, ejirila ya site na Stephen Hawking), Apple

Concatenative Synthesis (1990s-2000s)

Concatenative TTS na-edebe ụda mmadụ nke eziokwu na-ekwu ọtụtụ puku nke n'otu oge, mgbe ahụ na-ejikọta ọnụ akụkụ ndị dị n'aka nri na runtime. Nke a na-eme ka ụda nke ụda dị mma ma ọ chọrọ databases dị ukwuu (nke a na-ejikarị oge 10-20 nke ndekọ n'otu ụda). Nhazi ahụ na-adabere n'ịhụ na ọ na-ejikọta n'etiti akụkụ ndị ahụ.

A na-eji ya: AT&T Natural Voices, Nuance Vocalizer, Google Translate TTS.

Statistical/Parametric (2000s-2010s)

N'ebe ahụ, parametric models na-amụta ihe n'ihe gbasara okwu. Hidden Markov Models (HMMs) na mgbe ahụ deep neural networks na-emepụta okwu parameters (pitch, duration, spectral features) nke a na-adọta site na vocoder. Nke a na-enye ohere maka okwu ndị na-enweghị oke na ịmepụta olu dị mfe, mana vocoder step na-emekarị \

Key models: HTS, Merlin, early DNN-based systems.

Neural TTS (2016-Usoro)

Ọdịnihu nke oge a malitere na WaveNet (DeepMind, 2016), nke mepụtara ụda sample site na sample site na iji ntọala ntọala ntọala. A na-eso ya site na Tacotron (Google, 2017), nke na-amụta ịhazi ngwe n'ụzọ ziri ezi na spectrograms. Taa

Key breakthroughs: WaveNet, Tacotron, FastSpeech, VITS, Bark, Kokoro.

Try Modern Neural TTS

Otú ọ ga-esi rụọ ọrụ Modern Neural TTS

Nhazi nke n'azụ ụda AI na-atọ ụtọ

Nhazi ngwe na mmegharị

Ọgụgụala na-enweghị isi a na-ehichapụ ma na-echekwa: nọmba na-aghọ okwu (\

Acoustic Model (Text ka Spectrogram)

Acoustic model (karịsịa a Transformer mọọbụ autoregressive netwọk) na-ewere phoneme sequence ma na-atụ anya mel spectrogram - a visual representation of how the audio

Vokọ́ọ̀dir̀ (Spektrọgram ka ụda)

Vokoder na-atụgharị mel spectrogram ka ọbụla ụda waveforms. vocoders ochie dị ka Griffin-Lim na-emepụta robotic artifacts. Modern neural vocoders (HiFi-GAN, BigVGAN, Vocos) na-ebipụta elu-nghọta 24kHz ma ọ bụ 44.1kHz ụda nke na-echekwa nkọwa dị mma nke ụda ụda, na-agụnye ụda ụda na mmegharị dị mfe.

Nhazi nkenke

Models ndị kasị ọhụrụ dị ka VITS, Kokoro, na Bark na-ahapụ usoroiheomume abụọ nke ọma. Ha na-aga n'ụzọ ziri ezi site na ngwe gaa na ụda n'otu netwọk neural, na-eweta nsonaazụ ndị kasị nkịtị na ihe ndị kasị nta. Otú ọ dị, ụfọdụ models (dị ka Bark) nwere ike ịmepụta ụda ndị na-abụghị okwu, ịnụ ọkụ n'obi, na egwu n'akụkụ okwu.

Experience It Yourself

Nhazi TTS akọwapụtara

Olee otú nsụgharị anọ nke TTS technology si dị iche

Nhazi Oge Ọdịnaya Ntọala Nhazi Ndebata achọrọ
Formant Synthesis
Usoro-n'okpuru frekwentị modeling		 1960s-1990s Ọ dịghị
Concatenative
Òdìò segmenti ndị ahụ a haziri		 1990s-2010s 10-20+ awa
Parametric (HMM/DNN)
Statistical speech models		 2000s-2016 1-5 awa
Neural End-to-End
Deep learning (VITS, Kokoro, Bark)		 2016-Oge ọfụụ Nkeji ka awa
Try Neural TTS Free

Usoroiheomume TTS

Ebe a ga-eji ngwe na-ekwu okwu taa

Nhazi

Ndị na-agụ ihuenyo, ngwaọrụ ndị na-enyere aka, na ihe eji eme ihe maka ndị nwere nsogbu nlegharị anya ma ọ bụ nsogbu ịgụ akwụkwọ na-adabere na TTS iji mee ka ọdịnaya dijitalụ dị mfe maka onye ọ bụla.

Nhazi ihenhọrọ ndị ahụ

YouTubers, podcasters, na ndị na-emepụta mgbasa ozi mmekọrịta na-eji TTS maka voiceovers, na-ekwu okwu, na-emepụta ọdịnaya na-arụ ọrụ na-arụ ọrụ.

Ndịna-enyere aka n'ime n'ime

Siri, Alexa, Google Assistant, na chatbots ọrụ ndị ahịa niile na-eji TTS iji kwuo nzaghachi na-adịgide adịgide na ndị ọrụ.

Try Text to Speech Now

Ajụjụ ndị a na-ajụkarị

Ajụjụ ndị a na-ajụkarị banyere teknụzụ ngwe ka okwu

TTS bụ maka ngwe-na-asụsụ. Ọ na-ezobe na teknụzụ nke na-atụgharị ngwe e bipụtara na okwu asụsụ na-asụgharị ya site na iji ụda ndị a na-emegharị ma ọ bụ ụda ndị a na-emegharị. A na-eji okwu ahụ n'otu ụzọ ahụ na "asụsụ na-asụgharị" na akwụkwọ ndị na-akọwa ihe.

Sistemụ TTS ọfụụ na-arụ ọrụ n'ime nzọụkwụ atọ: nlekọta ngwe (nkọwapụta, ntọala, ntụgharị pọnèm), nhụjuanya prosody (ịkọwapụta ụda, ụda, nrụgide, na nkwụsị), na nsụgharị ụda (ịmepụta ụda ọfụụ waveform). Models neural na-amụta nzọụkwụ atọ niile site n'ịzụlite data.

Concatenative TTS splices together pre-recorded speech fragments, which can sound choppy at transitions. Neural TTS generates speech from scratch using deep learning, producing smoother, more natural-sounding audio with better prosody and emotion.

SSML (Speech Synthesis Markup Language) bụ asụsụ mọọbụ asụsụ ndị ahụ ejiri XML rụpụta na-enye gị ohere ịchịkwa otú usoroiheomume TTS si ekwu ngwe. I nwere ike ịkọwapụta nkwụsị, n'akụkọ, ikwu, mgbanwe n'asụsụ, nakwa ọnụọgụgụ okwu site na iji SSML táàbụ̀ n'ime ngwe gị.

TTS na-eji maka accessibility (screen readers maka ndị ọrụ na-enweghị ike ịhụ), virtual assistants (Siri, Alexa, Google Assistant), audiobook mmepụta, e-learning, GPS navigation, ahịa ọrụ IVR usoro, ọdịnaya creation, na asụsụ ịmụ applications.

TTS agbanweela site na sistemụ robotic rule-based na 1960s, gaa na concatenative synthesis na 1990s, gaa na statistical parametric synthesis na 2000s, gaa na neural TTS na WaveNet na 2016, gaa na ụdị mgbanwe na ntụgharị nke taa na-eme ka mma dị elu.

TTS na-anụrịrị na-achọ nghọta ziri ezi (nhazi, nrụgide, ntụgharị), ntụgharị dị mma, ntụgharị dị mfe n'etiti pọnèm, nakwa nghọta olu dị n'otu. Nhazi ndị a na-amụta site n'ihe data ndị dị ukwuu nke ụda mmadụ na-edebe.

Ụdị ụda na-ebuli elu dị ka Chatterbox na CosyVoice 2 nwere ike ịgbanwe ụda dị iche iche site na nkeji 5 ruo 30 nke ụda nlebara anya. ụda ebuli elu ahụ na-echekwa timbre, accent, na ụdị okwu, ma ọ bụrụ na a na-ahazi ya n'ụzọ iwu ka ọ na-ebuli ụda ndị ọzọ.

Ụdị TTS nke ugbua na-akwado asụsụ 30+ n'otu oge. Ọtụtụ ụdị na-enyocha asụsụ ndị dị iche iche, ndị ọzọ na-asụ asụsụ dị iche iche. Asụsụ Bekee nwere ụdị na ụda ndị dị n'ebe ahụ, mana Chinese, Japanese, Korean, Spanish, na asụsụ European na-akwadokwa ha.

TTS bụ subset nke AI voice generation. TTS na-atụgharị ngwe n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime.

Ọ na-adabere n'ihe ịchọrọ. Kokoro na-enye nkwụsi ike kacha mma nke ọsọ na nkwalite maka ojiji zuru ezu. Chatterbox na-aga n'ihu n'ịkwado ụda. Orpheus na-arụsi ọrụ ike n'ịkọwapụta mmetụta uche. StyleTTS 2 na-emepụta nkọwapụta onye na-ekwu okwu otu. Enweghị otu "best" model maka ihenhọrọ ojiji niile.

Ee. Models niile na TTS.ai bụ open-source na-enwe ike ịrụ ọrụ onwe ha. CPU-only models dị ka Piper na-arụ ọrụ na kọmputa ọ bụla. GPU models dị ka Kokoro na Bark chọrọ NVIDIA GPU na 2-8GB VRAM. Platform anyị na-enyekwa ohere ịrụ ọrụ nke ọma ka ị ghara ịrụ ọrụ na-elekọta ọrụ.
5.0/5 (1)

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