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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -46,8 +46,8 @@ On-device speech recognition, synthesis, and understanding for Mac and iOS. Runs
- **[VibeVoice TTS](https://soniqo.audio/guides/vibevoice)** — Long-form / multi-speaker TTS (Microsoft VibeVoice Realtime-0.5B + 1.5B, MLX, up to 90-min podcast/audiobook synthesis, EN/ZH)
- **[Magpie TTS](https://soniqo.audio/guides/magpie)** — Multilingual TTS (NVIDIA Magpie-TTS Multilingual 357M, MLX INT8 411 MB or CoreML INT8 342 MB, 9 languages, 5 baked speakers, streaming on MLX)
- **[Supertonic TTS](https://soniqo.audio/guides/supertonic)** — On-device flow-matching TTS (Supertone Supertonic-3 99M, CoreML/Neural Engine, 31 languages, 10 voices, G2P-free, 44.1 kHz)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — Multilingual TTS with zero-shot voice cloning (Resemble AI Chatterbox Multilingual, MLX fp16 ~1.3 GB, 23 languages, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-int8)** — Non-autoregressive diffusion TTS with zero-shot voice cloning (k2-fsa OmniVoice, Qwen3 backbone, MLX int8 ~1 GB / fp16, 600+ languages, Apache-2.0)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — Multilingual TTS with zero-shot voice cloning (Resemble AI Chatterbox Multilingual, MLX fp16 ~1.3 GB, 23 runtime languages; Hebrew requires niqqud, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16)** — Non-autoregressive diffusion TTS with zero-shot voice cloning (k2-fsa OmniVoice, Qwen3 backbone, MLX fp16 default / int8 available, 600+ languages, Apache-2.0)
- **[Indic-Mio](docs/models/indic-mio-tts.md)** — Hindi/Indic TTS with inline emotion markers and optional reference-voice cloning (MLX, 24 kHz)

**LLMs & Translation**
Expand Down Expand Up @@ -168,8 +168,8 @@ Compact view below. **[Full model catalogue with sizes, quantisations, download
| [VibeVoice Realtime-0.5B](https://soniqo.audio/guides/vibevoice) | Text → Speech (long-form, multi-speaker) | MLX | 0.5B | EN/ZH |
| [VibeVoice 1.5B](https://soniqo.audio/guides/vibevoice) | Text → Speech (up to 90-min podcast) | MLX | 1.5B | EN/ZH |
| [Magpie-TTS Multilingual](https://soniqo.audio/guides/magpie) | Text → Speech (5 baked speakers, streaming) | MLX / CoreML | 357M (MLX INT8, CoreML INT8) | 9 (CoreML excludes JA) |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Text → Speech (zero-shot cloning) | MLX | 0.8B (fp16) | 23 |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-int8) | Text → Speech (NAR diffusion, zero-shot cloning) | MLX | 0.8B (int8/fp16) | **600+** |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Text → Speech (zero-shot cloning) | MLX | 0.8B (fp16) | 23 (HE requires niqqud) |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16) | Text → Speech (NAR diffusion, zero-shot cloning) | MLX | 0.8B (fp16 default / int8) | **600+** |
| [Indic-Mio](docs/models/indic-mio-tts.md) | Text → Speech (Hindi/Indic, emotion tags, voice cloning) | MLX | fp16 | Hindi / Indic |
| [Fish Audio S2 Pro](docs/models/fish-audio-s2-pro.md) | Text → Speech (zero-shot cloning, explicit style markers) | MLX | 0.5B-class (fp16) | Multilingual |
| [Qwen3.5 Chat](docs/models/qwen35-chat.md) | Text → Text (LLM) | MLX, CoreML | 0.8B | Multi |
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8 changes: 4 additions & 4 deletions README_ar.md
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Expand Up @@ -56,8 +56,8 @@
- **[VibeVoice TTS](https://soniqo.audio/ar/guides/vibevoice)** — تحويل النص إلى كلام للنصوص الطويلة / متعدد المتحدثين (Microsoft VibeVoice Realtime-0.5B + 1.5B، MLX، توليد بودكاست/كتب صوتية حتى 90 دقيقة، EN/ZH)
- **[Magpie TTS](https://soniqo.audio/ar/guides/magpie)** — تحويل النص إلى كلام متعدد اللغات (NVIDIA Magpie-TTS Multilingual 357M، MLX INT8 411 ميغابايت أو CoreML INT8 342 ميغابايت، 9 لغات، 5 متحدثين جاهزين، تدفق على MLX)
- **[Supertonic TTS](https://soniqo.audio/guides/supertonic)** — تحويل النص إلى كلام على الجهاز بمطابقة التدفق (Supertone Supertonic-3 99M، CoreML/Neural Engine، 31 لغة، 10 أصوات، بدون G2P، 44.1 كيلوهرتز)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — تحويل النص إلى كلام متعدد اللغات مع استنساخ الصوت بدون تدريب مسبق (Resemble AI Chatterbox Multilingual، MLX fp16 ~1.3 غيغابايت، 23 لغة، MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-int8)** — تحويل النص إلى كلام بالانتشار غير الانحداري التلقائي مع استنساخ الصوت بدون تدريب مسبق (k2-fsa OmniVoice، عمود Qwen3 الفقري، MLX int8 ~1 GB / fp16، أكثر من 600 لغة، Apache-2.0)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — تحويل النص إلى كلام متعدد اللغات مع استنساخ الصوت بدون تدريب مسبق (Resemble AI Chatterbox Multilingual، MLX fp16 ~1.3 غيغابايت، 23 لغة وقت تشغيل؛ العبرية تتطلب النِّقُود، MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16)** — تحويل النص إلى كلام بالانتشار غير الانحداري التلقائي مع استنساخ الصوت بدون تدريب مسبق (k2-fsa OmniVoice، عمود Qwen3 الفقري، MLX fp16 افتراضي / int8 متاح، أكثر من 600 لغة، Apache-2.0)
- **[Indic-Mio](docs/models/indic-mio-tts.md)** — Hindi/Indic TTS with inline emotion markers and optional reference-voice cloning (MLX, 24 kHz)

**نماذج LLM والترجمة**
Expand Down Expand Up @@ -207,8 +207,8 @@ struct DictateView: View {
| [Qwen3-TTS](https://soniqo.audio/ar/guides/speak) | نص → كلام | MLX, CoreML | 0.6B, 1.7B | 10 |
| [CosyVoice3](https://soniqo.audio/ar/guides/cosyvoice) | نص → كلام | MLX | 0.5B | 9 |
| [VoxCPM2](https://soniqo.audio/ar/speech-generation) | نص → كلام (48 كيلوهرتز، تصميم + استنساخ صوت) | MLX | 2B (bf16/int8) | 30 |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | نص → كلام (استنساخ صوت بدون تدريب) | MLX | 0.8B (fp16) | 23 |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-int8) | نص → كلام (انتشار NAR، استنساخ بدون تدريب) | MLX | 0.8B (int8/fp16) | 600+ |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | نص → كلام (استنساخ صوت بدون تدريب) | MLX | 0.8B (fp16) | 23 (HE تتطلب النِّقُود) |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16) | نص → كلام (انتشار NAR، استنساخ بدون تدريب) | MLX | 0.8B (fp16 افتراضي / int8) | 600+ |
| [Indic-Mio](docs/models/indic-mio-tts.md) | Text → Speech (Hindi/Indic, emotion tags, voice cloning) | MLX | fp16 | Hindi / Indic |
| [Fish Audio S2 Pro](docs/models/fish-audio-s2-pro.md) | نص → كلام (استنساخ صوت بدون تدريب، علامات نمط صريحة) | MLX | 0.5B-class (fp16) | متعدد اللغات |
| [Kokoro-82M](https://soniqo.audio/ar/guides/kokoro) | نص → كلام | CoreML (ANE) | 82M | 10 |
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8 changes: 4 additions & 4 deletions README_de.md
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Expand Up @@ -46,8 +46,8 @@ Spracherkennung, -synthese und -verständnis auf dem Gerät für Mac und iOS. L
- **[VibeVoice TTS](https://soniqo.audio/de/guides/vibevoice)** — Langform-/Multi-Speaker-TTS (Microsoft VibeVoice Realtime-0.5B + 1.5B, MLX, bis zu 90 Min. Podcast-/Hörbuch-Synthese, EN/ZH)
- **[Magpie TTS](https://soniqo.audio/de/guides/magpie)** — Mehrsprachiges TTS (NVIDIA Magpie-TTS Multilingual 357M, MLX INT8 411 MB oder CoreML INT8 342 MB, 9 Sprachen, 5 vordefinierte Sprecher, Streaming auf MLX)
- **[Supertonic TTS](https://soniqo.audio/guides/supertonic)** — Flow-Matching-TTS auf dem Gerät (Supertone Supertonic-3 99M, CoreML/Neural Engine, 31 Sprachen, 10 Stimmen, G2P-frei, 44,1 kHz)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — Mehrsprachiges TTS mit Zero-Shot-Stimmklonen (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 GB, 23 Sprachen, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-int8)** — Nicht-autoregressives Diffusions-TTS mit Zero-Shot-Stimmklonen (k2-fsa OmniVoice, Qwen3-Backbone, MLX int8 ~1 GB / fp16, 600+ Sprachen, Apache-2.0)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — Mehrsprachiges TTS mit Zero-Shot-Stimmklonen (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 GB, 23 Laufzeitsprachen; Hebräisch erfordert Nikkud, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16)** — Nicht-autoregressives Diffusions-TTS mit Zero-Shot-Stimmklonen (k2-fsa OmniVoice, Qwen3-Backbone, MLX fp16 Standard / int8 verfügbar, 600+ Sprachen, Apache-2.0)
- **[Indic-Mio](docs/models/indic-mio-tts.md)** — Hindi/Indic TTS with inline emotion markers and optional reference-voice cloning (MLX, 24 kHz)

**LLMs und Übersetzung**
Expand Down Expand Up @@ -163,8 +163,8 @@ Kompakte Übersicht unten. **[Vollständiger Modellkatalog mit Größen, Quantis
| [Qwen3-TTS](https://soniqo.audio/de/guides/speak) | Text → Sprache | MLX, CoreML | 0.6B, 1.7B | 10 |
| [CosyVoice3](https://soniqo.audio/de/guides/cosyvoice) | Text → Sprache | MLX | 0.5B | 9 |
| [VoxCPM2](https://soniqo.audio/de/speech-generation) | Text → Sprache (48 kHz, Voice Design + Klonen) | MLX | 2B (bf16/int8) | 30 |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Text → Sprache (Zero-Shot-Klonen) | MLX | 0.8B (fp16) | 23 |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-int8) | Text → Sprache (NAR-Diffusion, Zero-Shot-Klonen) | MLX | 0.8B (int8/fp16) | 600+ |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Text → Sprache (Zero-Shot-Klonen) | MLX | 0.8B (fp16) | 23 (HE erfordert Nikkud) |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16) | Text → Sprache (NAR-Diffusion, Zero-Shot-Klonen) | MLX | 0.8B (fp16 Standard / int8) | 600+ |
| [Indic-Mio](docs/models/indic-mio-tts.md) | Text → Speech (Hindi/Indic, emotion tags, voice cloning) | MLX | fp16 | Hindi / Indic |
| [Fish Audio S2 Pro](docs/models/fish-audio-s2-pro.md) | Text → Sprache (Zero-Shot-Klonen, explizite Stilmarker) | MLX | 0.5B-class (fp16) | Mehrsprachig |
| [Kokoro-82M](https://soniqo.audio/de/guides/kokoro) | Text → Sprache | CoreML (ANE) | 82M | 10 |
Expand Down
8 changes: 4 additions & 4 deletions README_es.md
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Expand Up @@ -46,8 +46,8 @@ Reconocimiento, síntesis y comprensión de voz en el dispositivo para Mac e iOS
- **[VibeVoice TTS](https://soniqo.audio/es/guides/vibevoice)** — TTS de formato largo / múltiples hablantes (Microsoft VibeVoice Realtime-0.5B + 1.5B, MLX, síntesis de podcast/audiolibro de hasta 90 min, EN/ZH)
- **[Magpie TTS](https://soniqo.audio/es/guides/magpie)** — TTS multilingüe (NVIDIA Magpie-TTS Multilingual 357M, MLX INT8 411 MB o CoreML INT8 342 MB, 9 idiomas, 5 hablantes preconfigurados, streaming en MLX)
- **[Supertonic TTS](https://soniqo.audio/guides/supertonic)** — TTS de flow-matching en el dispositivo (Supertone Supertonic-3 99M, CoreML/Neural Engine, 31 idiomas, 10 voces, sin G2P, 44.1 kHz)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — TTS multilingüe con clonación de voz zero-shot (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 GB, 23 idiomas, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-int8)** — TTS de difusión no autorregresivo con clonación de voz zero-shot (k2-fsa OmniVoice, backbone Qwen3, MLX int8 ~1 GB / fp16, 600+ idiomas, Apache-2.0)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — TTS multilingüe con clonación de voz zero-shot (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 GB, 23 idiomas en runtime; hebreo requiere niqqud, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16)** — TTS de difusión no autorregresivo con clonación de voz zero-shot (k2-fsa OmniVoice, backbone Qwen3, MLX fp16 por defecto / int8 disponible, 600+ idiomas, Apache-2.0)
- **[Indic-Mio](docs/models/indic-mio-tts.md)** — Hindi/Indic TTS with inline emotion markers and optional reference-voice cloning (MLX, 24 kHz)

**LLM y traducción**
Expand Down Expand Up @@ -163,8 +163,8 @@ Vista compacta a continuación. **[Catálogo completo de modelos con tamaños, c
| [Qwen3-TTS](https://soniqo.audio/es/guides/speak) | Texto → Voz | MLX, CoreML | 0.6B, 1.7B | 10 |
| [CosyVoice3](https://soniqo.audio/es/guides/cosyvoice) | Texto → Voz | MLX | 0.5B | 9 |
| [VoxCPM2](https://soniqo.audio/es/speech-generation) | Texto → Voz (48 kHz, diseño de voz + clonación) | MLX | 2B (bf16/int8) | 30 |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Texto → Voz (clonación zero-shot) | MLX | 0.8B (fp16) | 23 |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-int8) | Texto → Voz (difusión NAR, clonación zero-shot) | MLX | 0.8B (int8/fp16) | 600+ |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Texto → Voz (clonación zero-shot) | MLX | 0.8B (fp16) | 23 (HE requiere niqqud) |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16) | Texto → Voz (difusión NAR, clonación zero-shot) | MLX | 0.8B (fp16 por defecto / int8) | 600+ |
| [Indic-Mio](docs/models/indic-mio-tts.md) | Text → Speech (Hindi/Indic, emotion tags, voice cloning) | MLX | fp16 | Hindi / Indic |
| [Fish Audio S2 Pro](docs/models/fish-audio-s2-pro.md) | Texto → Voz (clonación zero-shot, marcadores de estilo explícitos) | MLX | 0.5B-class (fp16) | Multilingüe |
| [Kokoro-82M](https://soniqo.audio/es/guides/kokoro) | Texto → Voz | CoreML (ANE) | 82M | 10 |
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8 changes: 4 additions & 4 deletions README_fr.md
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Expand Up @@ -46,8 +46,8 @@ Reconnaissance, synthese et comprehension vocale embarquees pour Mac et iOS. S'e
- **[VibeVoice TTS](https://soniqo.audio/fr/guides/vibevoice)** -- TTS long format / multi-locuteurs (Microsoft VibeVoice Realtime-0.5B + 1.5B, MLX, synthese de podcast/livre audio jusqu'a 90 min, EN/ZH)
- **[Magpie TTS](https://soniqo.audio/fr/guides/magpie)** — TTS multilingue (NVIDIA Magpie-TTS Multilingual 357M, MLX INT8 411 Mo ou CoreML INT8 342 Mo, 9 langues, 5 voix prédéfinies, streaming sur MLX)
- **[Supertonic TTS](https://soniqo.audio/guides/supertonic)** — TTS embarque par appariement de flux (Supertone Supertonic-3 99M, CoreML/Neural Engine, 31 langues, 10 voix, sans G2P, 44.1 kHz)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — TTS multilingue avec clonage vocal zero-shot (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 Go, 23 langues, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-int8)** — TTS à diffusion non autorégressive avec clonage vocal zero-shot (k2-fsa OmniVoice, backbone Qwen3, MLX int8 ~1 Go / fp16, 600+ langues, Apache-2.0)
- **[Chatterbox TTS](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16)** — TTS multilingue avec clonage vocal zero-shot (Resemble AI Chatterbox Multilingual, MLX fp16 ~1,3 Go, 23 langues runtime; l'hébreu exige le niqqud, MIT)
- **[OmniVoice TTS](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16)** — TTS à diffusion non autorégressive avec clonage vocal zero-shot (k2-fsa OmniVoice, backbone Qwen3, MLX fp16 par défaut / int8 disponible, 600+ langues, Apache-2.0)
- **[Indic-Mio](docs/models/indic-mio-tts.md)** — Hindi/Indic TTS with inline emotion markers and optional reference-voice cloning (MLX, 24 kHz)

**LLM et traduction**
Expand Down Expand Up @@ -163,8 +163,8 @@ Vue compacte ci-dessous. **[Catalogue complet des modeles avec tailles, quantifi
| [Qwen3-TTS](https://soniqo.audio/fr/guides/speak) | Texte → Parole | MLX, CoreML | 0.6B, 1.7B | 10 |
| [CosyVoice3](https://soniqo.audio/fr/guides/cosyvoice) | Texte → Parole | MLX | 0.5B | 9 |
| [VoxCPM2](https://soniqo.audio/fr/speech-generation) | Texte → Parole (48 kHz, conception vocale + clonage) | MLX | 2B (bf16/int8) | 30 |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Texte → Voix (clonage zero-shot) | MLX | 0.8B (fp16) | 23 |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-int8) | Texte → Voix (diffusion NAR, clonage zero-shot) | MLX | 0.8B (int8/fp16) | 600+ |
| [Chatterbox Multilingual](https://huggingface.co/aufklarer/Chatterbox-Multilingual-MLX-fp16) | Texte → Voix (clonage zero-shot) | MLX | 0.8B (fp16) | 23 (HE exige le niqqud) |
| [OmniVoice](https://huggingface.co/aufklarer/OmniVoice-MLX-fp16) | Texte → Voix (diffusion NAR, clonage zero-shot) | MLX | 0.8B (fp16 par défaut / int8) | 600+ |
| [Indic-Mio](docs/models/indic-mio-tts.md) | Text → Speech (Hindi/Indic, emotion tags, voice cloning) | MLX | fp16 | Hindi / Indic |
| [Fish Audio S2 Pro](docs/models/fish-audio-s2-pro.md) | Texte → Voix (clonage zero-shot, marqueurs de style explicites) | MLX | 0.5B-class (fp16) | Multilingue |
| [Kokoro-82M](https://soniqo.audio/fr/guides/kokoro) | Texte → Parole | CoreML (ANE) | 82M | 10 |
Expand Down
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