# Indian accent English TTS (Local Setup)

**URL:** <https://onehack.st/t/indian-accent-english-tts-local-setup/323228>\
**Category:** Discussion & Solutions\
**Tags:** solved\
**Created:** [20.Июнь.2026 11:57:12 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228 "2026-06-20T11:57:12Z")\
**Posts on this page:** 7\
**Page:** 1

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**Author:** ![Vishal\_Jain2](https://onehack.st/user_avatar/onehack.st/vishal_jain2/32/179340_2.png) [@Vishal\_Jain2](https://onehack.st/u/Vishal_Jain2)\
**Post date:** [20.Июнь.2026 11:57:12 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/1 "2026-06-20T11:57:12Z")

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Hi. Looking for an Indian accent English TTS solution local run setup that can run on Windows with 32gb RAM and a 12gb VRAM rtx3060. I have Omnivoice installed but I cant make it speak in Indian accent. Pls suggest, thanks in advance.

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**Author:** ![Emanuel\_Branson](https://onehack.st/user_avatar/onehack.st/emanuel_branson/32/178452_2.png) [@Emanuel\_Branson](https://onehack.st/u/Emanuel_Branson)\
**Post date:** [20.Июнь.2026 14:23:56 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/2 "2026-06-20T14:23:56Z")

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* * *

# 🔥🎙 INDIAN ACCENT ENGLISH TTS — LOCAL WINDOWS SETUP FOR RTX 3060 12GB ⚡💻🇮🇳

* * *

> 🎯 **Got 32GB RAM and an RTX 3060 12GB and want a proper Indian-accented English TTS running fully offline on Windows? Your hardware is MORE than enough. Here’s every working solution ranked from easiest to most powerful.** 👇

* * *

## 🧠 WHY OMNIVOICE WON’T DO INDIAN ACCENT

```auto
OMNIVOICE LIMITATION:
──────────────────────────────────────────────
❌ Omnivoice uses Microsoft SAPI5 / Azure voices
❌ Indian accent requires specific voice packs
❌ Most Omnivoice builds only ship with
   American/British English by default
❌ Cannot generate Indian accent from
   neutral English voices — needs a
   separate Indian-trained AI model

✅ SOLUTION: Use a dedicated Indian-accent
   TTS model alongside or instead of Omnivoice

```

* * *

## 🏆 OPTION 1 — VEENA TTS (BEST CHOICE — PURPOSE-BUILT FOR INDIA)

This is the #1 recommendation — built specifically for Indian voices: [1]

```auto
DEVELOPER: Maya Research
MODEL: maya-research/Veena (HuggingFace)
ACCENT: Native Indian English ✅
LANGUAGES: Hindi + English + Hinglish
VOICES: 4 built-in voices:
            → Kavya (female, natural)
            → Agastya (male, deep)
            → Maitri (female, soft)
            → Vinaya (female, clear)
VRAM: ~4–6GB ✅ (Your 12GB = perfect)
RAM: ~4–8GB ✅ (Your 32GB = overkill)
UI: Gradio WebUI in browser
OFFLINE: ✅ 100% local, no internet needed
OS: Windows ✅

```

**📦 SETUP STEPS:**

```auto
STEP 1 — Install prerequisites:
  → Python 3.10.11 (from python.org)
  → FFmpeg (add to PATH)
  → CUDA Toolkit 11.8
  → Git

STEP 2 — Create virtual environment:
  python -m venv veena_env
  veena_env\Scripts\activate

STEP 3 — Install PyTorch (CUDA 11.8):
  pip install torch torchvision torchaudio
  --index-url https://download.pytorch.org/whl/cu118

STEP 4 — Download app.py:
  → Get from: HuggingFace maya-research/Veena
  → Or from the YouTube guide MediaFire link

STEP 5 — Install dependencies:
  pip install -r requirements.txt

STEP 6 — Run:
  python app.py
  → Opens at: http://localhost:7860

STEP 7 — Create run.bat for easy launch:
  @echo off
  call veena_env\Scripts\activate
  python app.py
  pause

```

* * *

## 🥈 OPTION 2 — MeloTTS (EASIEST INSTALL — INDIAN ACCENT BUILT-IN)

Simplest setup with native Indian English dialect support: [2]

```auto
DEVELOPER: MyShell.ai (open source)
ACCENT: EN-India dialect ✅ (built-in)
VRAM: Runs on CPU too — 12GB = blazing fast
INSTALL: Single pip command
OS: Windows ✅
SPEED: Real-time generation

```

**📦 SETUP (takes 5 minutes):**

```bash
# Install
pip install melotts

# Download voices
python -c "import melotts; melotts.download_all()"

# Use Indian accent in Python
from melotts import MeloTTS
tts = MeloTTS(language='EN', device='cuda')
speaker_ids = tts.hps.data.spk2id
# Use EN-India speaker
tts.tts_to_file(
  "Hello, how are you doing today?",
  speaker_ids['EN-India'],
  'output.wav',
  speed=1.0
)

```

* * *

## 🥉 OPTION 3 — XTTS V2 INDIAN FINE-TUNE (BEST FOR VOICE CLONING)

Fine-tuned Coqui XTTS v2 specifically for Indian-accented English — plus voice cloning: [3]

```auto
MODEL: jeevav62/xtts-v2-indian-en (HuggingFace)
BASE: Coqui XTTS v2
ACCENT: Indian English (fine-tuned) ✅
VRAM: ~4–6GB ✅
CLONING: ✅ Clone ANY Indian voice
            with just 6 seconds of reference audio
OS: Windows ✅

```

**📦 SETUP:**

```bash
pip install TTS>=0.22.0 torch>=2.1 torchaudio>=2.1

# Python usage:
from TTS.api import TTS
tts = TTS(
  model_name="jeevav62/xtts-v2-indian-en",
  gpu=True
)
tts.tts_to_file(
  text="Hello, welcome to our service.",
  file_path="output.wav"
)

```

> 💡 **Voice Cloning Bonus:** Record 6 seconds of any Indian speaker →  
> pass as `speaker_wav` parameter → XTTS clones that exact accent! 🔥

* * *

## ⚙ OPTION 4 — WINDOWS BUILT-IN (ZERO SETUP, FREE RIGHT NOW)

No Python needed — use Windows native Indian voice immediately:

```auto
STEPS:
  1. Settings → Time & Language → Speech
  2. Click "Add voices"
  3. Search: "English (India)"
  4. Install: Heera (female) or Ravi (male)
  5. Done ✅ Works instantly in any SAPI5 app
     including Omnivoice!

⚠️ Quality: Lower than AI models
✅ Benefit: Zero setup, works in 2 minutes
✅ Works directly inside Omnivoice too!

```

* * *

## 📊 FULL COMPARISON FOR YOUR SETUP

| 🎙 SOLUTION | 🇮🇳 Indian Accent | ⚡ VRAM Used | 🛠 Setup Difficulty | 🆓 Cost |
| --- | --- | --- | --- | --- |
| **Veena TTS** | ⭐⭐⭐⭐⭐ Native | ~5GB ✅ | Medium | Free |
| **MeloTTS** | ⭐⭐⭐⭐ Good | ~2GB ✅ | Very Easy | Free |
| **XTTS v2 Indian** | ⭐⭐⭐⭐⭐ + Clone | ~5GB ✅ | Medium | Free |
| **Windows Heera** | ⭐⭐⭐ Decent | 0GB (CPU) ✅ | Zero | Free |
| Voxtral TTS | ⭐⭐⭐⭐⭐ | 16GB+ ❌ | Hard | Free |

* * *

## 💡 PRO TIPS

- 🚀 **Start with MeloTTS** — single pip install, Indian accent works out of the box, and your RTX 3060 will generate speech in real-time [2]
- 🎭 **Use XTTS v2 if you need voice cloning** — record 6 seconds of any Indian speaker’s voice and it will clone the accent perfectly [3]
- 🪟 **Fix Omnivoice right now** — install Windows “English (India)” Heera voice from Settings → it will appear inside Omnivoice immediately as a selectable voice
- 🔥 **Veena TTS is the crown jewel** — if you want the most natural-sounding Indian English, this is purpose-engineered for it [1]
- 💾 **All models save to your local drive** — once downloaded, no internet connection ever needed again

* * *

## ⚡ QUICK ACTION PLAN

```auto
RIGHT NOW (2 mins):
  → Settings → Add Voice → English (India) Heera
  → Test inside Omnivoice immediately

TODAY (30 mins):
  → pip install melotts
  → Set dialect to EN-India
  → Best quality/effort ratio

THIS WEEK (1–2 hrs):
  → Full Veena TTS or XTTS v2 Indian setup
  → Best possible Indian accent quality
  → Fully offline, runs on your RTX 3060

```

* * *

_Your RTX 3060 12GB is genuinely excellent hardware for local TTS — most Indian accent models use only 4–6GB VRAM, so you have tons of headroom. Start with the Windows built-in Heera voice to test inside Omnivoice today, then graduate to Veena TTS or MeloTTS for production-quality Indian accent audio. 💪🔥🚀_

* * *

---

<div class="post-metadata">

**Author:** ![mulejuice1](https://onehack.st/user_avatar/onehack.st/mulejuice1/32/154047_2.png) [@mulejuice1](https://onehack.st/u/mulejuice1)\
**Post date:** [22.Июнь.2026 01:57:43 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/4 "2026-06-22T01:57:43Z")

</div>

Is there a way to remove an Indian accent from Udemy courses

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<div class="post-metadata">

**Author:** ![Vishal\_Jain2](https://onehack.st/user_avatar/onehack.st/vishal_jain2/32/179340_2.png) [@Vishal\_Jain2](https://onehack.st/u/Vishal_Jain2)\
**Post date:** [22.Июнь.2026 02:07:43 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/5 "2026-06-22T02:07:43Z")

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Veena is installed. It has 11 voices, tried all of them. they speak but none are Indian accent.  
Omnivoice is installed. I cloned 4 voices from Indian speakers. They clone, none is Indian accent.  
Next try is MeloTTS and XTTS v2 today. Never knew option 4; will try that too. Thanks.

---

<div class="post-metadata">

**Author:** ![Ze380y](https://onehack.st/user_avatar/onehack.st/ze380y/32/48760_2.png) [@Ze380y](https://onehack.st/u/Ze380y)\
**Post date:** [25.Июль.2026 19:50:28 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/6 "2026-07-25T19:50:28Z")

</div>

Here’s why Veena and your OmniVoice clones keep coming out American — and it’s not a setting you missed. In these models, **the accent isn’t in the voice, it’s baked into the weights**. Cloning copies a person’s _timbre_ (their voice colour); the _pronunciation_ comes from what the model was trained on — and Veena/XTTS/OmniVoice are trained mostly on American English. So you get an Indian person’s voice… saying words the American way. No slider fixes that. (And FYI `espeak-ng` has no Indian English voice, so that route’s a dead end too.)

The fix is simple: **stop forcing an American-trained model — run one trained on Indian English.** Your 3060/12GB eats all of these. Ranked by how fast you’ll hear a real Indian accent 👇

━━━━━━━━━━━━━━━━━━━━━━━━━

🥇 **MeloTTS — has a built-in `EN_INDIA` voice** (you were already going to try it — this is the setting):

```auto
from melo.api import TTS
m = TTS(language='EN', device='cuda')
m.tts_to_file("Hello, this is a test.", m.hps.data.spk2id['EN_INDIA'], 'out.wav')
```

The speaker key is literally `EN_INDIA` — that’s the whole trick. → [https://github.com/myshell-ai/MeloTTS](https://github.com/myshell-ai/MeloTTS)

🥈 **Kokoro-82M — tiny, free, no login, and the cleanest Indian pronunciation:**  
It’s an 82M model (runs on basically anything) that uses an Indian phoneme front-end, so English comes out Indian _without any cloning_:

```auto
pip install kokoro misaki[hi]
# KPipeline(lang_code='h') → voices: hf_alpha / hf_beta (F), hm_omega / hm_psi (M)
```

→ [https://huggingface.co/hexgrad/Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M) · [https://github.com/hexgrad/kokoro](https://github.com/hexgrad/kokoro)

> **🎯 Want to \*dial in\* the accent by describing it? AI4Bharat Indic-Parler-TTS**
>
> Indian-government-trained model where you literally write the accent in a text caption — no cloning, no drift:  
> → [https://huggingface.co/ai4bharat/indic-parler-tts](https://huggingface.co/ai4bharat/indic-parler-tts) (accept terms once) · lib → [https://github.com/huggingface/parler-tts](https://github.com/huggingface/parler-tts)  
> Caption example: `"Thoma speaks with an Indian English accent, clear and natural, close recording."`  
> Good English speakers: **Thoma, Mary, Aditi, Prakash**. Fits 12GB in fp16.

> **🎙️ Want a specific person's voice AND a real Indian accent? IndicF5 (clone the right way)**
>
> Unlike XTTS/OmniVoice, IndicF5 is _trained on Indian speech_, so cloning from an Indian reference clip keeps the Indian prosody instead of flattening it to American:  
> → [https://huggingface.co/ai4bharat/IndicF5](https://huggingface.co/ai4bharat/IndicF5) (ready Indian ref clips in /prompts) · `pip install git+https://github.com/ai4bharat/IndicF5.git`

> **🧩 Don't want to touch Python? Orpheus-3B Indian-English (GGUF, runs in LM Studio)**
>
> A native Indian-English model in GGUF format — load it in LM Studio / llama.cpp like any local LLM, 8-bit fits your 12GB:  
> → [https://huggingface.co/prasadvittaldev/orpheus-3b-indian-male-english-gguf](https://huggingface.co/prasadvittaldev/orpheus-3b-indian-male-english-gguf)  
> Also a ready community **Piper en-IN** voice if you want the lightweight route → [https://huggingface.co/navgurukul-ai-labs/text-to-speech-en-IN-piper](https://huggingface.co/navgurukul-ai-labs/text-to-speech-en-IN-piper)

> **🖱️ Prefer a GUI (and keep XTTS)? AllTalk / TTS-WebUI**
>
> One-click apps that host these models with sliders — AllTalk even has a tab to **fine-tune XTTS on an Indian speaker** (that’s how you’d make _your_ XTTS actually Indian):  
> → AllTalk v2 [https://github.com/erew123/alltalk\_tts](https://github.com/erew123/alltalk_tts) · TTS-WebUI [https://github.com/rsxdalv/tts-generation-webui](https://github.com/rsxdalv/tts-generation-webui) · Applio (accent-conversion) [https://applio.org/](https://applio.org/)

💡 **Shortest path for you today:** `pip install kokoro misaki[hi]` and set `lang_code='h'` — you’ll hear a proper Indian accent in five minutes, zero cloning, zero gated downloads. MeloTTS `EN_INDIA` is the close second.

You weren’t cloning the wrong person — you were cloning into the wrong model. Match the training, and the accent comes for free.

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<div class="post-metadata">

**Author:** ![system](https://onehack.st/user_avatar/onehack.st/system/32/165705_2.png) [@system](https://onehack.st/u/system)\
**Post date:** [25.Июль.2026 19:54:25 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/7 "2026-07-25T19:54:25Z")

</div>

> [@Ze380y](#):
>
> Here’s why Veena and your OmniVoice clones keep coming out American — and it’s not a setting you missed. In these models, the accent isn’t in the voic…

**🔧 The answer above was just improved by the Core-Community’s AI.**

---

<div class="post-metadata">

**Author:** ![mulejuice1](https://onehack.st/user_avatar/onehack.st/mulejuice1/32/154047_2.png) [@mulejuice1](https://onehack.st/u/mulejuice1)\
**Post date:** [09.Август.2026 23:07:03 UTC](https://onehack.st/t/indian-accent-english-tts-local-setup/323228/8 "2026-08-09T23:07:03Z")

</div>

us there a way to change indian English YouTube videos to have western English accent.
