IDOSIYE Umwandiko Kuri
35+ Gufungura - Inkomoko Urugero, 305+ , 55+ Idosiye Bya ngombwa.
ya:
ku Gufungura - Inkomoko
35+ Imigaragarire y'amajwi
Bya Gufungura - Inkomoko in Rimwe
Chatterbox
OpenVoice
Sesame CSM
Kokoro Kigenga
ni Igenamiterere Umwandiko - Kuri - Ururimi: Urugero: hejuru Ubwoko: Urwego:. Ingano:, ni Bisanzwe na Ururimi:. Igikubo Ururimi:,,, na Na: A Bya. Byihuta - - Igihe ku A.
kugirango: Ubwiza Na: Gitoya Porogaramu
Kugerageza
Piper Kigenga
ni A Umwandiko - Kuri - ijambo ku na. ku, ya: Impera, Home, na Porogaramu Ntibicometse kuri interineti. hejuru 100 +, - - ijambo Ku Igihe ku A 4.
kugirango: Igaragazambere, Ubushobozi bwo gukoresha, na Porogaramu
Kugerageza
VITS Kigenga
(Na: ya: Impera - Kuri - Impera - Kuri -) ni A Impera - Kuri - Impera Uburyo Birenzeho Bisanzwe Inyumvo KIGEZWEHO Kabiri - Icyiciro Udushushondanga. Na: na, A in.
kugirango: Umwandiko Kuri Na:
Kugerageza
MeloTTS Kigenga
ku ni A Inyandikonyakwirema (,,,), na. ni Byihuta, Umwandiko Ku - Igihe Umuvuduko ku. ni ya: Koresha na Byombi na.
kugirango: Porogaramu Bihuta,
Kugerageza
Kani TTS 2 Kigenga
Kani-TTS-2 by NineNineSix is an ultra-lightweight 400M parameter model built on a Liquid AI LFM2 backbone with NVIDIA NanoCodec. It runs in just 3GB VRAM and produces ~10 seconds of speech in ~2 seconds on an A100 (RTF 0.2). The current public release ships an English-only `kani-tts-2-en` checkpoint and does not expose the speaker-embedding hook needed for voice cloning — use Chatterbox / IndexTTS2 / F5-TTS for cloning, or Kokoro / MeloTTS for non-English.
kugirango: ku Hasi - Ibikoresho, Gikora Igaragazambere
Kugerageza
OuteTTS Kigenga
Gikomeye Ururimi: Imisusire Na: Umwandiko - Kuri - Ikiganiro i Mburabuzi. Gihinguranya llama. cpp (/), na Mucukumbuzi Biturutse. Zeru - Ijwi Gihinguranya Nka.
kugirango: Umukoresha - Gitoya - Ibikorana
Kugerageza
Pocket TTS Kigenga
ku (Bya) ni A Igenamiterere Umwandiko - Kuri - Ururimi: Urugero: hejuru. ku, Zeru - Ururimi: Kuva: A UMWE Audio: Urugero:, na - Ururimi:. Gitoya Urugero: Ingano: ya: Impera: na Hasi - Ibikorana:.
kugirango: , -, Gikora
Kugerageza
Kitten TTS Kigenga
ku ni - Umwandiko - Kuri - Urugero: ku. Kuva: Kuri Ibigenga (- ku Disiki% 1), hejuru - Ubuziranenge ku A. 8 - in, Umuvuduko, na - in Umwandiko ya: Imibare, Amafaranga, na. ya: Impera: na Hasi - Porogaramu.
kugirango: , Impera, Hasi - Porogaramu
Kugerageza
Ming-Omni TTS Kigenga
Ming-omni-tts-0.5B by inclusionAI is a compact omni-modal speech model built on the BailingMM dense backbone with a Patch-by-Patch flow-matching audio decoder. Delivers 44.1kHz output (near CD quality), supports zero-shot voice cloning from a 3+ second reference, and includes built-in emotion / dialect / BGM control via JSON instructions. Excellent stability — 0.83% WER on Chinese benchmarks.
kugirango: -, -, Ibigize
Kugerageza
MOSS-TTS Nano Kigenga
MOSS-TTS-Nano-100M is OpenMOSS's compact 100M-parameter variant of the MOSS-TTS family, sharing the delay-transformer architecture. Trades the 8B model's peak quality for ~80x smaller weights and dramatically lower per-request VRAM, making it suitable for free-tier and high-throughput deployments. Same 20-language reach.
kugirango: -, hejuru - Igice, Gitoya - Ikoresha:
Kugerageza
Bark Bisanzwe
Umwandiko - Kuri - Urugero:,, na Ijwi Ingaruka.
Mukoraporogaramu Suno · Inyandikonyakwirema: MIT
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Bark Small Bisanzwe
Verisiyo Bya Na: na Hasi Ububiko... Koresha.
Mukoraporogaramu Suno · Inyandikonyakwirema: MIT
Kugerageza
CosyVoice 2 Bisanzwe
Na: Umunyamuntu - na Zeru
Mukoraporogaramu Alibaba (Tongyi Lab) · Inyandikonyakwirema: Apache 2.0
Kugerageza
Dia TTS Bisanzwe
Multi-speaker dialog generation model that creates natural conversations between speakers.
Mukoraporogaramu Nari Labs · Inyandikonyakwirema: Apache 2.0
Kugerageza
Parler TTS Bisanzwe
i Igisubizo in Ururimi: na.
Mukoraporogaramu Hugging Face · Inyandikonyakwirema: Apache 2.0
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Indic Parler TTS Bisanzwe
High-quality speech for 8+ Indian languages with natural-language voice control.
Mukoraporogaramu AI4Bharat · Inyandikonyakwirema: Apache 2.0
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KhanomTan TTS Bisanzwe
Itangira Umwandiko - Kuri - Na: A Ihitamo Bya.
Mukoraporogaramu Wannaphong Phatthiyaphaibun · Inyandikonyakwirema: Apache 2.0
Kugerageza
IndexTTS-2 Bisanzwe
Zero-shot TTS with fine-grained emotion control and high expressiveness.
Mukoraporogaramu Index Team · Inyandikonyakwirema: Bilibili Model License
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Spark TTS Bisanzwe
Na: na Imisusire Biturutse.
Mukoraporogaramu SparkAudio · Inyandikonyakwirema: CC BY-NC-SA 4.0
Kugerageza
GPT-SoVITS Bisanzwe
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
Mukoraporogaramu RVC-Boss · Inyandikonyakwirema: MIT
Kugerageza
Orpheus Bisanzwe
Human-level emotional TTS model trained on 100K hours of speech data.
Mukoraporogaramu Canopy Labs · Inyandikonyakwirema: Llama 3.2 Community
Kugerageza
Qwen3 TTS Bisanzwe
Na: Na Ijwi Imiterere Kuva: Umwandiko.
Mukoraporogaramu Alibaba (Qwen) · Inyandikonyakwirema: Apache 2.0
Kugerageza
VieNeu-TTS-v2 Bisanzwe
+ Inyandikoporogaramu - Na: 7 Na Zeru - Ijwi. -, Oya Bya ngombwa.
Mukoraporogaramu Phạm Nguyễn Ngọc Bảo · Inyandikonyakwirema: Apache 2.0
Kugerageza
Chatterbox Turbo Bisanzwe
Na: - na Itagi: ya:,, na Birenzeho.
Mukoraporogaramu Resemble AI · Inyandikonyakwirema: MIT
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VoxCPM Bisanzwe
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
Mukoraporogaramu OpenBMB · Inyandikonyakwirema: Apache 2.0
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VibeVoice Bisanzwe
Urugero: ya: Buri gihe - Ifishi% S: Igikubo - Ibigize Nka na.
Mukoraporogaramu Microsoft · Inyandikonyakwirema: MIT
Kugerageza
CosyVoice3 Bisanzwe
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Mukoraporogaramu Alibaba (FunAudioLLM) · Inyandikonyakwirema: Apache 2.0
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NAMAA Saudi TTS Bisanzwe
Gufungura -. Na: - Ubwiza Ijwi.
Mukoraporogaramu NAMAA Space · Inyandikonyakwirema: MIT
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Darwin TTS Bisanzwe
Cross-modal Qwen3-TTS variant with FFN weights blended from the Qwen3-1.7B language model for sharper multilingual cloning.
Mukoraporogaramu FINAL-Bench · Inyandikonyakwirema: Apache 2.0
Kugerageza
MOSS-TTSD Bisanzwe
Multi-speaker dialogue continuation model — generate podcast-style conversations with up to 5 speakers and 60 minutes of coherent audio.
Mukoraporogaramu OpenMOSS · Inyandikonyakwirema: Apache 2.0
Kugerageza
Tortoise TTS Icyiciro gikomeye
Multi-voice text-to-speech focused on quality with autoregressive architecture.
Ubwiza:
Kugerageza
StyleTTS 2 Icyiciro gikomeye
Human-level text-to-speech through style diffusion and adversarial training.
Ubwiza:
KugeragezaIndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
Ururimi: en, zh
Guhindura izinaGPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
Ururimi: en, zh, ja, ko
Guhindura izinaTortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
Ururimi: en
Guhindura izinaVieNeu-TTS-v2
+ Inyandikoporogaramu - Na: 7 Na Zeru - Ijwi. -, Oya Bya ngombwa.
Ururimi: vi, en
Guhindura izinaVoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
Ururimi: en, zh
Guhindura izinaPocket TTS
Igenamiterere Urugero: ku Na: Inyuguti: Kuva: A UMWE Urugero:.
Ururimi: en, fr
Guhindura izinaCosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Ururimi: en, zh, ja, ko, de, es, fr, it, ru
Guhindura izinaDarwin TTS
Cross-modal Qwen3-TTS variant with FFN weights blended from the Qwen3-1.7B language model for sharper multilingual cloning.
Ururimi: en, ko, ja, zh
Guhindura izinaMOSS-TTSD
Multi-speaker dialogue continuation model — generate podcast-style conversations with up to 5 speakers and 60 minutes of coherent audio.
Ururimi: en, zh
Guhindura izinaMing-Omni TTS
Compact 0.5B omni-modal speech model from inclusionAI with high-fidelity 44.1kHz output and zero-shot voice cloning.
Ururimi: en, zh
Guhindura izinaMOSS-TTS Nano
Tiny 100M MOSS-TTS variant — same architecture, 80x smaller, free-tier latency.
Ururimi: en, zh, de, es, fr, ja, it, ko, ru, ar, pt
Guhindura izinaDeveloper-First API
Gushigikira ya: - Igihe Porogaramu.
- Imiterere
- kugirango Igihe Porogaramu
- ya: Kinini Ibikorwa
- Amabwiriza
pip install ttsai
npm install @ttsainpm/ttsai
from tts_ai import TTSClient
client = TTSClient(api_key="sk-tts-xxx")
audio = client.generate(
text="Hello from TTS.ai!",
model="kokoro",
voice="af_bella",
)
client.save(audio, "output.mp3"), Bibonerana
Kigenga. Nka.
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