Michael Hansen commited on
Commit
b25f2e9
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1 Parent(s): 5258822

Add ku voice

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ku/ku_TR/berfin_renas/medium/MODEL_CARD ADDED
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+ ---
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+ language:
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+ - ku
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+ license: cc-by-nc-4.0
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+ tags:
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+ - text-to-speech
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+ - tts
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+ - piper
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+ - kurdish
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+ - kurmanji
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+ - vits
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+ datasets:
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+ - berfin_renas
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+ metrics:
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+ - wer
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+ base_model: rhasspy/piper-voices
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+ pipeline_tag: text-to-speech
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+ ---
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+
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+ # Model Card for ku-berfin_renas-medium
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+
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+ A multi-speaker Kurmanji Kurdish (Kurmancî) text-to-speech model trained
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+ with the [Piper TTS](https://github.com/OHF-Voice/piper1) framework.
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+ Supports two speakers — **Berfin** (speaker 0) and **Renas** (speaker 1) —
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+ at medium quality and 22,050 Hz sample rate.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ - **Developed by:** rojanu
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+ - **Model type:** VITS (Variational Inference with adversarial learning for
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+ end-to-end Text-to-Speech)
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+ - **Language(s):** Kurmanji Kurdish (`ku`)
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+ - **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)
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+ - **Finetuned from model:** `en_US-lessac-medium` (Piper English vocoder
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+ warm-start)
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+
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+ ### Model Sources
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+
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+ - **Repository:** [rojanu/piper-ku-berfin-renas-medium](https://huggingface.co/rojanu/piper-ku-berfin-renas-medium)
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+ - **Framework:** [OHF-Voice/piper1](https://github.com/OHF-Voice/piper1)
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+
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+ ## Speakers
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+
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+ | Speaker ID | Name |
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+ |------------|--------|
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+ | 0 | Berfin |
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+ | 1 | Renas |
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+
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+ ## Uses
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+
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+ ### Direct Use
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+
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+ Offline, on-device Kurmanji Kurdish speech synthesis. Designed for:
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+
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+ - Screen readers (e.g. NVDA with the [piper-nvda addon](https://github.com/mzanm/piper-nvda))
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+ - Assistive technology
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+ - Voice interfaces for Kurdish-language applications
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+
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+ ### Out-of-Scope Use
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+
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+ - Languages other than Kurmanji Kurdish
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+ - High-fidelity / broadcast-quality synthesis (this is a medium-quality model)
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+
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+ ## How to Get Started with the Model
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+
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+ ### With Piper CLI
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+
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+ ```bash
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+ echo "Silav û rêz ji hemûyan re." | piper \
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+ --model ku-berfin_renas-medium.onnx \
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+ --speaker 0 \
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+ --output_file output.wav
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+ ```
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+
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+ ### With NVDA
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+
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+ Install the [piper-nvda addon](https://github.com/mzanm/piper-nvda) and use
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+ the direct download URL:
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+
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+ ```
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+ https://huggingface.co/rojanu/piper-ku-berfin-renas-medium/resolve/main/ku-berfin_renas-medium.tar.gz
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+ ```
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ A private dataset of two Kurmanji Kurdish speakers (**Berfin** and **Renas**),
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+ approximately 2.72 hours total (1.32h Berfin, 1.40h Renas), recorded at
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+ 22,050 Hz.
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+
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+ | Speaker | Files | Duration |
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+ |---------|-------|-----------|
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+ | Berfin | 1,022 | 1.32 hours |
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+ | Renas | 1,024 | 1.40 hours |
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+ | **Total** | **2,046** | **2.72 hours** |
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+
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+ ### Training Procedure
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+
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+ #### Preprocessing
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+
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+ - Audio normalised to 22,050 Hz mono WAV
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+ - Text phonemized via `espeak-ng` with voice `ku`
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+ - Average utterance duration: ~4.79 seconds
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** fp32
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+ - **Framework:** Piper / PyTorch Lightning
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+ - **Base checkpoint:** `en_US-lessac-medium` (vocoder warm-start)
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+ - **Batch size:** 32
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+ - **Max epochs:** 929 (training stopped; best validation at ~epoch 72)
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+ - **Hardware:** AMD ROCm GPU
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+ - **Validation split:** 5%
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+
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+ ## Evaluation
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+
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+ ### Results
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+
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+ The model shows signs of overfitting due to the small dataset (~2.7h total).
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+ Best validation loss was achieved at approximately epoch 72. Audio quality is
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+ intelligible but benefits from additional training data.
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+
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+ **Known limitations:**
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+ - Dataset too small for high-quality multi-speaker TTS (recommend ≥ 3h per speaker)
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+ - Overfitting observed after epoch ~72
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+
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+ ## Technical Specifications
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+
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+ ### Model Architecture
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+
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+ - **Architecture:** VITS medium
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+ - **Sample rate:** 22,050 Hz
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+ - **Phoneme type:** espeak (`ku`)
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+ - **Number of speakers:** 2
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+ - **Model size:** ~77 MB (ONNX)
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+
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+ ## Model Card Authors
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+
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+ rojanu
ku/ku_TR/berfin_renas/medium/config.json ADDED
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+ {
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+ "audio": {
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+ "sample_rate": 22050,
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+ "quality": "medium"
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+ },
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+ "espeak": {
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+ "voice": "ku"
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+ },
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+ "language": {
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+ "code": "ku_TR",
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+ "family": "ku",
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+ "region": "KTR",
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+ "name_native": "Kurmancî",
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+ "name_english": "Kurmanji Kurdish",
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+ "country_english": "Turkey"
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+ },
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+ "phoneme_type": "espeak",
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+ "num_symbols": 256,
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+ "num_speakers": 2,
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+ "inference": {
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+ "noise_scale": 0.667,
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+ "length_scale": 1.0,
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+ "noise_w": 0.8
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+ },
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+ "phoneme_id_map": {
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+ "_": [
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+ 0
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+ ],
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+ },
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+ "speaker_id_map": {
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+ "Berfin": 0,
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+ "Renas": 1
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+ },
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+ "hop_length": 256,
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+ "piper_version": "1.3.0",
516
+ "dataset": "berfin_renas"
517
+ }
ku/ku_TR/berfin_renas/medium/epoch=934-step=114070.ckpt ADDED
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