Junco v0.1

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+samples/story.wav filter=lfs diff=lfs merge=lfs -text

LICENSE

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NOTICE

@@ -0,0 +1,16 @@
+Junco v0.1 (flockspeech/junco)
+Copyright 2026 Flock Speech
+
+Licensed under the Apache License, Version 2.0 (see LICENSE). This covers the Junco acoustic model weights
+(onnx/encoder.onnx, onnx/decoder-int8.onnx) and the model configuration (onnx/junco.json).
+
+Third-party components:
+
+- Vocos vocoder (onnx/vocoder.onnx): converted from charactr/vocos-mel-24khz,
+  Copyright (c) 2023 Charactr Inc., MIT License (see onnx/LICENSE-vocos).
+- Training data: LJ Speech Dataset (Keith Ito and Linda Johnson), public domain.
+
+Not included, required at run time to turn text into phonemes:
+
+- espeak-ng (GPL-3.0) and phonemizer (GPL-3.0). The flockspeech pip package installs them as separate
+  dependencies.

README.md

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+---
+license: apache-2.0
+language:
+  - en
+library_name: onnx
+pipeline_tag: text-to-speech
+tags:
+  - text-to-speech
+  - tts
+  - speech-synthesis
+  - neural-tts
+  - offline-tts
+  - on-device
+  - edge-ai
+  - edge
+  - offline
+  - cpu
+  - onnx
+  - onnxruntime
+  - lightweight
+  - small-model
+  - vocos
+  - english
+  - raspberry-pi
+  - flockspeech
+  - accessibility
+  - screen-reader
+  - voice-assistant
+  - narration
+datasets:
+  - keithito/lj_speech
+---
+
+# Junco v0.1: tiny offline text-to-speech (TTS) for CPU
+
+**A small, natural English text-to-speech model that runs offline on any CPU. 44 MB, no GPU, no cloud.**
+
+Junco is an 11.4M-parameter text-to-speech model from [Flock Speech](https://huggingface.co/flockspeech). It turns
+English text into natural 24 kHz speech on an ordinary CPU, faster than real time. It has no GPU, network or PyTorch
+dependency, and the full model is a 44 MB download.
+
+Junco is the clear, neutral **reading voice** of the Flock Speech family: a good fit for voice assistants, screen
+readers, notifications, narration and other on-device or edge AI speech output. Install it with
+`pip install flockspeech`.
+
+| Flock Speech voices | Style | Model card |
+|---|---|---|
+| **Junco** | clear, neutral reading voice | this page |
+| **Goldfinch** | conversational voice that laughs and breathes on cue with `[laugh]` tags | [flockspeech/goldfinch](https://huggingface.co/flockspeech/goldfinch) |
+
+| | |
+|---|---|
+| **Developed by** | Flock Speech |
+| **Model type** | Neural text-to-speech: compact acoustic model + Vocos vocoder |
+| **Language** | English (US) |
+| **Voices** | 1 (female, read-aloud style) |
+| **Output** | 24 kHz mono audio |
+| **Parameters** | 11.4M acoustic model + 13.5M vocoder |
+| **Download** | 44 MB (ONNX; int8 decoder, fp16 encoder and vocoder) |
+| **Runtime** | ONNX Runtime on CPU (Linux, macOS, Windows; x86-64 and ARM64) |
+| **License** | Apache-2.0 (vocoder weights MIT) |
+| **Version** | v0.1, November 2026 |
+
+## Samples
+
+All samples were made with the files in this repository at default settings (8 steps, seed 0), with no editing.
+
+| Use | Text | Audio |
+|---|---|---|
+| Greeting | *Hello! I'm Junco, a tiny voice that runs entirely on your own device.* | <audio controls src="https://huggingface.co/flockspeech/junco/resolve/main/samples/greeting.wav"></audio> |
+| Assistant | *Your next meeting starts in fifteen minutes. Would you like me to read the agenda?* | <audio controls src="https://huggingface.co/flockspeech/junco/resolve/main/samples/assistant.wav"></audio> |
+| Narration | *The old lighthouse keeper climbed the spiral stairs one last time, and watched the ships come home through the fog.* | <audio controls src="https://huggingface.co/flockspeech/junco/resolve/main/samples/story.wav"></audio> |
+| News | *Researchers announced on Tuesday that the new battery can be charged in under ten minutes, and lasts twice as long.* | <audio controls src="https://huggingface.co/flockspeech/junco/resolve/main/samples/news.wav"></audio> |
+
+## Quick start
+
+The [`flockspeech`](https://pypi.org/project/flockspeech/) Python package bundles these weights, so nothing is downloaded
+at run time.
+
+```sh
+pip install flockspeech
+flockspeech "Hello! I'm Junco." -o hello.wav --play
+```
+
+```python
+from flockspeech import Junco
+
+tts = Junco()                        # loads in under a second
+audio = tts("Hello there.")          # float32 numpy array, 24 kHz mono
+tts.save("Hello there.", "hello.wav")
+
+# Low latency: audio is produced sentence by sentence
+for chunk in tts.stream(long_text):
+    play(chunk)
+```
+
+To use the files in this repository directly:
+
+```python
+from huggingface_hub import snapshot_download
+from flockspeech import Junco
+
+path = snapshot_download("flockspeech/junco", allow_patterns=["onnx/*"])
+tts = Junco(model_dir=f"{path}/onnx")
+```
+
+### Options
+
+| Parameter | Default | Effect |
+|---|---|---|
+| `speed` | 1.0 | Speaking rate; 1.2 is 20% faster |
+| `steps` | 8 | Generation steps; 4 is about 1.5× faster with slightly lower quality |
+| `seed` | 0 | Fixes the small random variation in delivery, so output is reproducible |
+| `threads` | up to 4 | CPU threads for ONNX Runtime |
+
+## Intended use
+
+**Suitable for:**
+- Voice output on devices and in apps that must work offline or keep text private: assistants, accessibility and
+  screen-reading tools, kiosks, robotics, games and embedded products.
+- CPU-only servers where cost or latency matters.
+- Prototyping and research on small TTS models.
+
+**Out of scope:**
+- Languages other than English, or speaker voices other than the one provided. Junco has no voice cloning.
+- Expressive, emotional or conversational styles. The voice reads in a neutral, read-aloud style.
+- Impersonating a real person, or producing audio meant to deceive listeners about who is speaking or whether the
+  speech is synthetic.
+
+## Limitations
+
+- **No text normalisation.** Write numbers, currency, dates and abbreviations in words: "five dollars", not "$5";
+  "Doctor", not "Dr.". Raw digits and symbols are read by espeak-ng's rules, which may not be what you want.
+- **Pronunciation comes from espeak-ng.** Rare names, brands and some homographs, such as *read* and *lead*, can be
+  mispronounced.
+- **One voice, one accent.** The model learned from a single US English speaker.
+- **Long-form audio.** Text is synthesised sentence by sentence. Prosody does not carry across sentences.
+- **Bright high frequencies.** About 14% of Junco's energy lies above 4 kHz, against 2% for real recordings. On some
+  playback systems this may sound slightly bright or hissy.
+
+## Risks and responsible use
+
+Synthetic speech can be misused for deception. Junco produces a single fixed voice and cannot clone speakers, which
+limits impersonation risk. We still ask that you:
+- tell listeners when speech is synthetic, where that matters;
+- not use the model for fraud, harassment or deceptive impersonation;
+- review output before you use it in safety-critical or high-stakes settings.
+
+## Model details
+
+### How it works
+
+Text is converted to phonemes with espeak-ng, a compact neural acoustic model turns the phonemes into a mel
+spectrogram, and the [Vocos](https://huggingface.co/charactr/vocos-mel-24khz) vocoder (MIT) turns that into 24 kHz
+audio. All three run in ONNX Runtime on the CPU.
+
+### Files
+
+| File | Contents | Size |
+|---|---|---:|
+| `onnx/encoder.onnx` | Acoustic model, part 1 (fp16 weights) | 7.2 MB |
+| `onnx/decoder-int8.onnx` | Acoustic model, part 2 (int8) | 9.9 MB |
+| `onnx/vocoder.onnx` | Vocos vocoder (fp16 weights) | 27.1 MB |
+| `onnx/junco.json` | Mel normalisation statistics and default inference settings | <1 kB |
+| `samples/` | The audio samples above | |
+
+### Training
+
+| | |
+|---|---|
+| **Data** | [LJ Speech](https://keithito.com/LJ-Speech-Dataset/): 13,100 clips, about 24 hours, one speaker, public domain |
+| **Compute** | 3 hours on one NVIDIA T4 GPU, from scratch |
+
+**Environmental impact.** The final training run used about 3 GPU-hours on one NVIDIA T4 (70 W TDP), or about
+0.2 kWh. Architecture experiments before it used more.
+
+## FAQ
+
+**Does Junco need a GPU or an internet connection?**
+No. It runs on an ordinary CPU with ONNX Runtime. Once installed, speech is generated fully offline and your text
+never leaves the machine.
+
+**How big is it?**
+44.2 MB in total: a 17.1 MB acoustic model plus the 27.1 MB Vocos vocoder. Junco and Goldfinch share the vocoder, so
+both voices together take 61.3 MB.
+
+**Can it run on a Raspberry Pi or other ARM boards?**
+It runs on 64-bit ARM Linux wherever `onnxruntime` and `espeakng-loader` publish wheels, including 64-bit Raspberry
+Pi OS.
+
+**Can I stream audio for low latency?**
+Yes. `tts.stream(text)` yields audio sentence by sentence, so playback can start before the whole text is done.
+
+**Can I use it without Python?**
+The ONNX files run in any ONNX Runtime binding. The text front end (espeak-ng phonemes) and the small loop around the
+three models live in the [`flockspeech`](https://github.com/flockspeech/flockspeech) package, which you can port.
+
+**Does it support voice cloning or other languages?**
+No. Junco is one English (US) voice. For a casual, conversational voice, use
+[Goldfinch](https://huggingface.co/flockspeech/goldfinch).
+
+**Can I use it commercially?**
+Yes. The weights are Apache-2.0 and the vocoder is MIT. The phonemiser (espeak-ng, phonemizer) is GPL-3.0 and is
+installed separately; see the License section below.
+
+## License
+
+- **Junco weights and configuration:** [Apache License 2.0](LICENSE). Commercial use, modification and redistribution
+  are allowed.
+- **Vocos vocoder weights** (`onnx/vocoder.onnx`): MIT, © 2023 Charactr Inc. See `onnx/LICENSE-vocos`.
+- **Training data:** LJ Speech, public domain.
+
+**Run-time dependency.** Text-to-phoneme conversion uses espeak-ng and phonemizer. Both are GPL-3.0 and are **not**
+included in this repository. The `flockspeech` package installs them as separate dependencies. If you plan to ship
+Junco inside a closed-source product, review their licence terms, or replace the phonemiser with one under a licence
+that suits you. See [NOTICE](NOTICE).
+
+## Citation
+
+```bibtex
+@misc{flockspeech2026junco,
+  title        = {Junco: a small text-to-speech model for on-device use},
+  author       = {{Flock Speech}},
+  year         = {2026},
+  howpublished = {\url{https://huggingface.co/flockspeech/junco}},
+  note         = {Version 0.1}
+}
+```
+
+## Links
+
+- Python package: [pypi.org/project/flockspeech](https://pypi.org/project/flockspeech/)
+- Source code: [github.com/flockspeech/flockspeech](https://github.com/flockspeech/flockspeech)
+- Conversational voice: [flockspeech/goldfinch](https://huggingface.co/flockspeech/goldfinch)
+
+## Acknowledgements
+
+We thank the authors of LJ Speech and of the Vocos vocoder.

config.json

@@ -0,0 +1,14 @@
+{
+  "name": "Junco",
+  "family": "Flock Speech",
+  "version": "v0.1",
+  "style": "clear reading voice",
+  "language": "en-US",
+  "sample_rate": 24000,
+  "runtime": "onnxruntime",
+  "package": "flockspeech",
+  "install": "pip install flockspeech",
+  "files": {
+    "onnx": "onnx/junco.json"
+  }
+}

onnx/LICENSE-vocos

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Charactr Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

onnx/decoder-int8.onnx

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onnx/encoder.onnx

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onnx/junco.json

@@ -0,0 +1,21 @@
+{
+ "name": "junco",
+ "version": "v0.1",
+ "sample_rate": 24000,
+ "hop": 256,
+ "n_fft": 1024,
+ "mean": -1.49140640330624,
+ "std": 2.024339073543612,
+ "defaults": {
+  "n_steps": 8,
+  "g": 1.0,
+  "z": 0.667,
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