piper_stella

es/es_MX/ald/x_low/MODEL_CARD

@@ -1,19 +0,0 @@
-# Model card for ald (x-low)
-
-* Language: es_MX (Spanish, Mexico)
-* Speakers: 1
-* Quality: x-low
-* Samplerate: 22,050Hz
-
-## Dataset
-
-Synthetic speech dataset generated using the original es_MX-ald-medium Piper TTS model.
-
-The dataset contains approximately 8 hours of audio generated from Spanish sentences obtained from the Tatoeba Project:
-https://tatoeba.org/en/downloads
-
-## Training
-
-This model was trained from scratch using the synthetic dataset generated with the es_MX-ald-medium voice.
-
-The goal of this model is to provide a smaller and faster alternative with fewer parameters.

es/es_MX/ald/x_low/epoch=1953-step=244064.ckpt

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-oid sha256:ddc864b138047ecc28a78da017cabcbdf36131aff6e55521d7140de3119da966
-size 646812312

es/es_MX/ald/x_low/es_MX-ald-x_low.onnx.json

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-{
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-    "region": "MX",
-    "name_native": "Español",
-    "name_english": "Spanish",
-    "country_english": "Mexico"
-  },
-  "dataset": "ald"
-}

ku/ku_TR/berfin_renas/medium/MODEL_CARD

@@ -1,142 +0,0 @@
----
-language:
-- ku
-license: cc-by-nc-4.0
-tags:
-- text-to-speech
-- tts
-- piper
-- kurdish
-- kurmanji
-- vits
-datasets:
-- berfin_renas
-metrics:
-- wer
-base_model: rhasspy/piper-voices
-pipeline_tag: text-to-speech
----
-
-# Model Card for ku-berfin_renas-medium
-
-A multi-speaker Kurmanji Kurdish (Kurmancî) text-to-speech model trained
-with the [Piper TTS](https://github.com/OHF-Voice/piper1) framework.
-Supports two speakers — **Berfin** (speaker 0) and **Renas** (speaker 1) —
-at medium quality and 22,050 Hz sample rate.
-
-## Model Details
-
-### Model Description
-
-- **Developed by:** rojanu
-- **Model type:** VITS (Variational Inference with adversarial learning for
-  end-to-end Text-to-Speech)
-- **Language(s):** Kurmanji Kurdish (`ku`)
-- **License:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — free for non-commercial use with attribution; commercial use restricted due to [Blizzard 2013 base model](https://www.cstr.ed.ac.uk/projects/blizzard/2013/lessac_blizzard2013/license.html)
-- **Finetuned from model:** `en_US-lessac-medium` (Piper English vocoder
-  warm-start)
-
-### Model Sources
-
-- **Repository:** [rojanu/piper-ku-berfin-renas-medium](https://huggingface.co/rojanu/piper-ku-berfin-renas-medium)
-- **Framework:** [OHF-Voice/piper1](https://github.com/OHF-Voice/piper1)
-
-## Speakers
-
-| Speaker ID | Name   |
-|------------|--------|
-| 0          | Berfin |
-| 1          | Renas  |
-
-## Uses
-
-### Direct Use
-
-Offline, on-device Kurmanji Kurdish speech synthesis. Designed for:
-
-- Screen readers (e.g. NVDA with the [piper-nvda addon](https://github.com/mzanm/piper-nvda))
-- Assistive technology
-- Voice interfaces for Kurdish-language applications
-
-### Out-of-Scope Use
-
-- Languages other than Kurmanji Kurdish
-- High-fidelity / broadcast-quality synthesis (this is a medium-quality model)
-
-## How to Get Started with the Model
-
-### With Piper CLI
-
-```bash
-echo "Silav û rêz ji hemûyan re." | piper \
-  --model ku-berfin_renas-medium.onnx \
-  --speaker 0 \
-  --output_file output.wav
-```
-
-### With NVDA
-
-Install the [piper-nvda addon](https://github.com/mzanm/piper-nvda) and use
-the direct download URL:
-
-```
-https://huggingface.co/rojanu/piper-ku-berfin-renas-medium/resolve/main/ku-berfin_renas-medium.tar.gz
-```
-
-## Training Details
-
-### Training Data
-
-A private dataset of two Kurmanji Kurdish speakers (**Berfin** and **Renas**),
-approximately 2.72 hours total (1.32h Berfin, 1.40h Renas), recorded at
-22,050 Hz.
-
-| Speaker | Files | Duration  |
-|---------|-------|-----------|
-| Berfin  | 1,022 | 1.32 hours |
-| Renas   | 1,024 | 1.40 hours |
-| **Total** | **2,046** | **2.72 hours** |
-
-### Training Procedure
-
-#### Preprocessing
-
-- Audio normalised to 22,050 Hz mono WAV
-- Text phonemized via `espeak-ng` with voice `ku`
-- Average utterance duration: ~4.79 seconds
-
-#### Training Hyperparameters
-
-- **Training regime:** fp32
-- **Framework:** Piper / PyTorch Lightning
-- **Base checkpoint:** `en_US-lessac-medium` (vocoder warm-start)
-- **Batch size:** 32
-- **Max epochs:** 929 (training stopped; best validation at ~epoch 72)
-- **Hardware:** AMD ROCm GPU
-- **Validation split:** 5%
-
-## Evaluation
-
-### Results
-
-The model shows signs of overfitting due to the small dataset (~2.7h total).
-Best validation loss was achieved at approximately epoch 72. Audio quality is
-intelligible but benefits from additional training data.
-
-**Known limitations:**
-- Dataset too small for high-quality multi-speaker TTS (recommend ≥ 3h per speaker)
-- Overfitting observed after epoch ~72
-
-## Technical Specifications
-
-### Model Architecture
-
-- **Architecture:** VITS medium
-- **Sample rate:** 22,050 Hz
-- **Phoneme type:** espeak (`ku`)
-- **Number of speakers:** 2
-- **Model size:** ~77 MB (ONNX)
-
-## Model Card Authors
-
-rojanu

ku/ku_TR/berfin_renas/medium/config.json

@@ -1,517 +0,0 @@
-{
-  "audio": {
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-    "quality": "medium"
-  },
-  "espeak": {
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-  },
-  "language": {
-    "code": "ku_TR",
-    "family": "ku",
-    "region": "KTR",
-    "name_native": "Kurmancî",
-    "name_english": "Kurmanji Kurdish",
-    "country_english": "Turkey"
-  },
-  "phoneme_type": "espeak",
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-  "num_speakers": 2,
-  "inference": {
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-  "dataset": "berfin_renas"
-}

ku/ku_TR/berfin_renas/medium/epoch=934-step=114070.ckpt

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ur/ur_PK/fasih/medium/MODEL_CARD

@@ -1,72 +0,0 @@
----
-language: ur
-tags:
-  - piper
-  - tts
-  - urdu
-  - text-to-speech
-  - accessibility
-license: mit
----
-
-# Urdu Male Voice — Piper TTS (medium)
-
-Urdu text-to-speech voice for [Piper](https://github.com/OHF-Voice/piper1-gpl).
-
-## Overview
-
-- **Language:** Urdu (`ur_PK`)
-- **Voice:** Male
-- **Quality:** Medium
-- **Phonemizer:** eSpeak (`ur`)
-- **Sample rate:** 22050 Hz
-
-## Listen
-
-| Text | Audio |
-|------|-------|
-| قوس قزح، جسے قوس قزح یا رنگوں کی قوس قزح بھی کہا جاتا ہے، ایک قدرتی طبعی رجحان ہے جو بارش کے قطرے کے ذریعے سورج کی روشنی کے اضطراب اور پھیلاؤ کے نتیجے میں ہوتا ہے۔ | <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample.wav"></audio>|
-| یہ ایک سادہ جملہ ہے۔ | <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample_1.wav"></audio>|
-| کیا آپ ٹھیک ہیں؟ | <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample_2.wav"></audio>|
-| میرے پاس 3 کتابیں ہیں۔ | <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample_3.wav"></audio>|
-| میں نے ایک نیا لیپ ٹاپ خریدا۔| <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample_4.wav"></audio>|
-| آج موسم بہت اچھا ہے اور ہم باہر جا سکتے ہیں۔| <audio controls src="https://huggingface.co/IhorShevchuk/piper-voice-ur-fasih/resolve/main/samples/sample_5.wav"></audio>|
-
-## Optimized Inference Parameters
-
-| Parameter     | Value | Description                         |
-|---------------|-------|-------------------------------------|
-| noise_scale   | 0.667 | Expressiveness / variation          |
-| noise_w       | 0.8   | Phoneme duration variation          |
-| length_scale  | 1.0   | Speaking speed                      |
-
-## Usage
-
-```bash
-echo 'یہ ایک سادہ جملہ ہے۔' | piper \
-  --model ur_PK-male-medium.onnx \
-  --config ur_PK-male-medium.onnx.json \
-  --output_file output.wav
-````
-
-## Training Details
-
-* **Base model:** Hindi (`hi_IN`) medium (Rohan) checkpoint
-* **Base checkpoint:** `epoch=3190-step=309852.ckpt` [https://huggingface.co/datasets/rhasspy/piper-checkpoints/tree/main/hi/hi_IN/rohan/medium](https://huggingface.co/datasets/rhasspy/piper-checkpoints/tree/main/hi/hi_IN/rohan/medium)
-* **Dataset:** [UAT (Urdu)](https://huggingface.co/datasets/mahwizzzz/UAT)
-* **Training checkpoint:** `epoch=3206-step=383452.ckpt`
-* **Hardware:** Apple M4 Mac mini
-
-## Notes
-
-* Trained on Urdu dataset with eSpeak phonemization.
-* Based on Hindi model initialization, adapted for Urdu speech.
-* Quality may vary on mixed-language input (Urdu + English).
-
-## Links
-
-* [Piper](https://github.com/OHF-Voice/piper1-gpl) — Neural TTS engine
-
-## License
-
-MIT

ur/ur_PK/fasih/medium/config.json

@@ -1,192 +0,0 @@
-{
-  "audio": {
-    "sample_rate": 22050,
-    "quality": "medium"
-  },
-  "espeak": {
-    "voice": "ur"
-  },
-  "phoneme_type": "espeak",
-  "num_symbols": 256,
-  "num_speakers": 1,
-  "inference": {
-    "noise_scale": 0.667,
-    "length_scale": 1.0,
-    "noise_w": 0.8
-  },
-  "language": {
-    "code": "ur_PK",
-    "family": "ur",
-    "region": "PK",
-    "name_native": "اردو",
-    "name_english": "Urdu",
-    "country_english": "Pakistan"
-  },
-  "phoneme_id_map": {
-    "_": [0],
-    "^": [1],
-    "$": [2],
-    " ": [3],
-    "!": [4],
-    "'": [5],
-    "(": [6],
-    ")": [7],
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-    "-": [9],
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-    ":": [11],
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-    "c": [16],
-    "d": [17],
-    "e": [18],
-    "f": [19],
-    "h": [20],
-    "i": [21],
-    "j": [22],
-    "k": [23],
-    "l": [24],
-    "m": [25],
-    "n": [26],
-    "o": [27],
-    "p": [28],
-    "q": [29],
-    "r": [30],
-    "s": [31],
-    "t": [32],
-    "u": [33],
-    "v": [34],
-    "w": [35],
-    "x": [36],
-    "y": [37],
-    "z": [38],
-    "æ": [39],
-    "ç": [40],
-    "ð": [41],
-    "ø": [42],
-    "ħ": [43],
-    "ŋ": [44],
-    "œ": [45],
-    "ǀ": [46],
-    "ǁ": [47],
-    "ǂ": [48],
-    "ǃ": [49],
-    "ɐ": [50],
-    "ɑ": [51],
-    "ɒ": [52],
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-    "ɔ": [54],
-    "ɕ": [55],
-    "ɖ": [56],
-    "ɗ": [57],
-    "ɘ": [58],
-    "ə": [59],
-    "ɚ": [60],
-    "ɛ": [61],
-    "ɜ": [62],
-    "ɞ": [63],
-    "ɟ": [64],
-    "ɠ": [65],
-    "ɡ": [66],
-    "ɢ": [67],
-    "ɣ": [68],
-    "ɤ": [69],
-    "ɥ": [70],
-    "ɦ": [71],
-    "ɧ": [72],
-    "ɨ": [73],
-    "ɪ": [74],
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-    "ɳ": [83],
-    "ɴ": [84],
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-    "ɶ": [86],
-    "ɸ": [87],
-    "ɹ": [88],
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-    "ʄ": [97],
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-    "ˈ": [120],
-    "ˌ": [121],
-    "ː": [122],
-    "ˑ": [123],
-    "˞": [124],
-    "β": [125],
-    "θ": [126],
-    "χ": [127],
-    "ᵻ": [128],
-    "ⱱ": [129],
-    "0": [130],
-    "1": [131],
-    "2": [132],
-    "3": [133],
-    "4": [134],
-    "5": [135],
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-    "7": [137],
-    "8": [138],
-    "9": [139],
-    "̧": [140],
-    "̃": [141],
-    "̪": [142],
-    "̯": [143],
-    "̩": [144],
-    "ʰ": [145],
-    "ˤ": [146],
-    "ε": [147],
-    "↓": [148],
-    "#": [149],
-    "\"": [150],
-    "↑": [151],
-    "̺": [152],
-    "̻": [153],
-    "g": [154],
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-    "X": [156],
-    "̝": [157],
-    "̊": [158],
-    "ɝ": [159],
-    "ʷ": [160]
-  },
-  "speaker_id_map": {},
-  "hop_length": 256,
-  "piper_version": "1.3.0",
-  "dataset": "fasih"
-}

ur/ur_PK/fasih/medium/epoch=3206-step=383452.ckpt

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