AI Tebhu kuenda kuSpeech

Kokoro imhando yemutauro unoshandura maparameter makumi maviri nemana ezviuru kuti uve mashoko, uye inowana kubudirira kwakanyanya kupfuura mamwe mapurojekiti emhando iyi. Pasinei nechidiki chayo, Kokoro inoshandura maparameter makumi maviri nemana ezviuru kuti ive mashoko, uye inogadzira mashoko anotaura zvakajeka. Kokoro inotsigira mitauro mizhinji, kusanganisira Chirungu, ChiJapanese, ChiChinese, neChiKorean, pamwe nemhando dzakasiyana dzemazwi anotaura.

Piper idiki, yakajeka, uye yakajeka-kutaura injini yakagadzirwa neRhasspy, iyo inoshandisa VITS uye larynx architectures. Inoshanda zvachose paCPU, ichiita kuti ive yakanaka kune edge devices, home automation, uye maapplication anoda offline TTS. Nekusvika pa100 mazwi mu30+ matauro, Piper inopa zvakajairika zvinonzwa kutaura panguva chaiyo, kunyange paRaspberry Pi 4.

VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) imwecheteyo nzira yeTTS inoita kuti mashoko aite seasiri kunyorwa, asi asiri kunyorwa. Inoshandisa variational inference pamwe nekushandura ma flows kuita zvakajairika uye nekuita ma training processes asingatarisirwi, izvo zvinopa mhedzisiro yakanaka mukutaura.

MeloTTS by MyShell.ai is a multilingual TTS library supporting English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. It is extremely fast, processing text at near real-time speed on CPU alone. MeloTTS is designed for production use and supports both CPU and GPU inference.

Bark by Suno ishanduro-yakavakirwa text-to-audio model iyo inogona kuburitsa zvakajeka, zvinotaura mumitauro mizhinji pamwe nevamwe vataura semunyori, mashoko ari mu background, uye ma effects. Bark inokwanisa kuburitsa mameseji asina kutaurwa sekukuvara, kuseka, uye kushaya mwoyo. Bark inobatsira kushandura mameseji kubva mumitauro mizhinji kuita mameseji anokwanisa kutaurwa.

Bark Small idiki ndeye distilled vhezheni yeBark model iyo inotengesa mamwe audio quality yezvakanaka zvakakura zvinokurumidza inference speeds uye zvishoma zvinodiwa zve memory.

CosyVoice 2 neAlibaba's Tongyi Lab inowana hunhu hwekutaura hwakaenzana nemunhu neyepamusoro-yepamusoro latency, zvichiita kuti ive yakanaka kune real-time applications. Inoshandisa yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana

Dia by Nari Labs i 1.6B parameter text-to-speech model yakagadzirwa zvakananga kuti iite mavhidhiyo evanhu vakasiyana vachitaura. Inogona kuita kuti mashoko aite seanobva mupfungwa pakati pevanhu vaviri vachitaura pamwe nekuita zvizere zviito, prosody, uye kuratidzwa kwepfungwa. Dia inonyanya kushandiswa mukuumba zvemukati zvepodcast-style, mavhidhiyo ebhuku, uye interaction conversational AI.

Parler TTS imhando yemashoko anoshandurwa kuita mashoko iyo inoshandisa mavara emazwi ezvinyorwa kuti iite mashoko anogadzirwa. Pasina kusarudza kubva kune zvakaiswa-pakutanga mavara, iwe unotaura mashoko aunoda (e. g., "murume ane mweya wakachena ane pfungwa dzechiBritain, achitaura zvakaomarara uye zvakajeka") uye Parler inogadzira mashoko anoenzana neaya mavara. Izvi zvinoita kuti zvive zvakasiyana-siyana kune zvinogadzirwa.

GLM-TTS by Zhipu AI i system yekushandura mameseji kuita mashoko yakagadzirwa neLlama architecture ine flow matching.Inowana yakaderera kwazvo mhedzisiro yematambudziko emashoko pakati pezvirongwa zveTTS zvemahara, izvo zvinoreva kuti inogadzira yakanyanya kunyatsojeka kutaura. GLM-TTS inotsigira Chirungu neChiChinese nezvokushandura mashoko kubva pa3-10 sekondi dzemavhidhiyo.

IndexTTS-2 inyanzvi yekunyora-ku-kutaura system iyo inozivikanwa ne zero-shot voice synthesis ine fin-grained emotion control. Inogona kuburitsa mashoko ane mavara eemotional seanofara, akasvibiswa, akazvininipisa, kana akazvininipisa pasina kukumbira emotion-specific training data. Iyo model inoshandisa emotion vectors kuti iite zvakajeka kudzora kwepfungwa yemashoko akagadzirwa.

Spark TTS by SparkAudio ndeye text-to-speech model iyo inobatanidza voice cloning necontrollable emotion nespeaking style. Kushandisa chete 5 seconds yereference audio, inogona kuklonera muromo uye wobva wagadzira muromo nemhando dzakasiyana dzeemotions, speeds, nestyles uchichengeta muromo wakaklonwa. Spark TTS inoshandisa system yekudzora inoenderana neprompt.

GPT-SoVITS inobatanidza GPT-style rurimi kuumbwa ne SoVITS (Singing Voice Inference via Translation and Synthesis) yesimba-shoma-shot rurimi kuumbwa. Nekuti zvishoma se 5 masekondi referenzi audio, inogona zvakakwana kuumbwa rurimi uye kuumba mashoko matsva uye kuchengeta mashoko emunhu anotaura.

Orpheus ndeimwe yemhando dzakawanda dzekushandura mashoko kuita mashoko inoita kuti munhu anzwisise pfungwa dzake. Iine makore anopfuura 100 000 ekuongorora mashoko, Orpheus inokwanisa kushandura mashoko kuita mashoko ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka.

Chatterbox by Resemble AI inyanzvi yekugadzira mavhidhiyo emhando yepamusoro. Inogona kushandura chero mashoko kubva kune imwe chete audio sample nechokwadi chakanaka, ichitora kwete chete timbre asiwo mashoko emhando uye emotional nuances. Chatterbox zvakare ine fin-grained emotion control, ichikubvumidza iwe kuti ugadzire emotional tone yemashoko akagadzirwa zvakazvimiririra kubva kune mashoko emunhu.

Tortoise TTS i autoregressive multi- voice text- to- speech system iyo inopa kukosha kukuru kune audio quality kupfuura speed. Inoshandisa DALL- E- inspired architecture kuti iite mashoko akafanana neanotaura. Kunyangwe ichiramba ichiomarara kupfuura dzimwe nzira, Tortoise inogadzira mamwe eanonzwisisika kwazvo akagadzirwa mashoko aripo mu open- source ecosystem.

StyleTTS 2 inowana TTS synthesis yemunhu-level nekubatanidza style diffusion neadversarial training using large speech language models. It generates the most natural sounding speech among single-speaker models, rivaling human recordings. StyleTTS 2 inoshandisa diffusion-based style modeling kuti itore iyo yakazara mhando yevanhu kutaura.

OpenVoice by MyShell.ai inoita kuti zvive nyore kushandura mashoko munguva chaiyo, nekupa kudzora kwakanyanya pamusoro pemhando yemashoko, pfungwa, pfungwa, rythm, paunts, uye intonation. Inogona kushandura mashoko kubva kune imwe chete audio clip uye kuburitsa mashoko mumitauro mizhinji, uye ichichengeta mashoko emunhu anotaura. OpenVoice inoitawo sechishanduri chemashoko, ichibvumira kushandura mashoko munguva chaiyo.

Qwen3-TTS i 1.7 bhiriyoni parameter text-to-speech model kubva kuQwen team yeAlibaba. Inoshanda nematanho matatu: preset mazwi neemotion control (9 vanotaura), voice cloning kubva chete 3 masekondi eaudio, uye a unique voice design mode uko iwe unotaura mashoko aunoda mutauro wakajairika.

Sesame CSM (Conversational Speech Model) imhando ine zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru

Chatterbox Turbo by Resemble AI i350M parameter upgrade to Chatterbox, delivering up to 6x real-time speed with sub-200ms latency. It supports paralinguistic tags like [laugh], [cough], and [chuckle] directly in text. Includes Perth watermarking on all generated audio for provenance tracking.

Zonos v0.1 by Zyphra i 1.6B parameter model ine fin-grained emotion control ine sliders yekufara, kunyara, kusafara, kushungurudzika, uye kushamisika. Inoitawo kuti zvive nyore kushandisa Transformer uye a novel SSM (state-space model) variant. Yakadzidziswa pa 200K+ mazuva emashoko ane mitauro yakawanda ne zero-shot voice cloning kubva pa 10-30 seconds ye reference audio.

Dia2 by Nari Labs is a streaming-first upgrade to Dia, available in 1B and 2B parameter variants. It begins synthesizing audio from the first few tokens, making it ideal for real-time voice agents and speech-to-speech pipelines. Supports multi-speaker dialogue with [S1]/[S2] tags and paralinguistic cues like (laughs), (coughs).

VoxCPM 1. 5 ne OpenBMB ndeye nyowani ye TTS model isina tokenizer iyo inoshanda munguva yakazara kupfuura mune yakasara tokens. Inogadzira 44. 1kHz audio ine yepamusoro-fidelity, inotsigira zero-shot voice cloning kubva pa3-10 masekondi, uye inochengeta kuwirirana pakati peparagraphs. Cross-language cloning inokutendera kuti uise rurimi rweChirungu muChirungu uye vice versa.

OuteTTS inowedzera mamodheru emhando yepamusoro dzemitauro nemhando dzakasiyana dzemabasa ekuti mashoko aite sei, uye ichichengeta hunhu hwayo hwekutanga. Inotsigira akawanda mabackends, kusanganisira llama.cpp (CPU/GPU), Hugging Face Transformers, ExLlamaV2, VLLM, uyewo browser inference kuburikidza neTransformers.js. Inosanganisira zero-shot voice cloning kuburikidza ne speaker profiles dzakachengetwa seJSON.

TADA (Text-Acoustic Dual Alignment) neHume AI itsva TTS model iyo inobvisa hallucinations kuburikidza nenyaya yedual alignment architecture yakavakwa pa Llama 3.2. Inowanikwa mu1B (English) uye 3B (multilingual) variants, TADA inowana RTF ye0.09 — 5x nekukurumidza kupfuura zvakaenzana LLM-based TTS models. Inobatsira kusvika pa700 seconds of audio context uye inogadzira emotionally expressive speech ine zero hallucinations pastandard benchmarks.

VibeVoice by Microsoft inosvika mumhando mbiri: 1.5B model yenguva refu-mufananidzo zvemukati (kusvika 90 maminitsi, 4 vataura) uye Realtime 0.5B model yekutamba ne ~ 200ms yekutanga audio latency. The 1.5B variant excels pa podcasts uye audiobooks ne speaker kufanana pamusoro refu mapasi.

Pocket TTS by Kyutai (vagadziri veMoshi) ndeimwe compact 100M parameter text-to-speech model iyo inotamba zvakanaka kupfuura muviri wayo. Inoshanda zvakaomarara paCPU, inotsigira zero-shot voice cloning kubva kune imwe audio sample, uye inogadzira mashoko anonzwa sezvinoita muviri.

Kitten TTS by KittenML is an ultra-lightweight text-to-speech model built on ONNX. With variants from 15M to 80M parameters (25-80 MB on disk), it delivers high-quality voice synthesis on CPU without requiring a GPU. Features 8 built-in voices, adjustable speech speed, and built-in text preprocessing for numbers, currencies, and units. Ideal for edge deployment and low-latency applications.

CosyVoice3 is the latest evolution from Alibaba's FunAudioLLM team. It features bi-streaming inference with ~150ms latency, instruction-based control for emotion/speed/volume, and improved speaker similarity for zero-shot cloning. Supports 9 languages plus 18 Chinese dialects. RL-tuned variant delivers state-of-the-art prosody.

MOSS-TTS from OpenMOSS supports generation of up to 1 hour of continuous speech across 20 languages. Features token-level duration control, phoneme-level pronunciation control via IPA/Pinyin, and code-switching between languages. The 8B production model delivers state-of-the-art quality with zero-shot voice cloning from reference audio.

MegaTTS3 from ByteDance uses a novel sparse alignment mechanism combined with a latent diffusion transformer. Features adjustable trade-off between speech intelligibility and speaker similarity for zero-shot voice cloning.