default voice: synthetic (weighted blend of five readers); 7-reader preset removed

:memory:.ses

@@ -0,0 +1,2 @@
+1790409342927
+90a118cb-9e09-405d-b4ea-4a1b39b42563

README.md

@@ -22,7 +22,7 @@ spontaneous speech.
 | `model/matcha_pl_target.ckpt` | **the released acoustic model**: Lightning checkpoint, 20 speaker rows (ids 0–7 = target readers), 18 style rows |
 | `vocoder/hifigan_pl.pt` | HiFi-GAN generator fine-tuned on this model's mels (**use this one**); `vocoder/g_02500000_universal` = the stock universal vocoder for comparison |
 | `onnx/matcha_pl_t2.onnx`, `onnx/matcha_pl_t4.onnx` | acoustic model + fine-tuned vocoder in one ONNX graph, 2 / 4 ODE steps; inputs `x` (phoneme ids), `x_lengths`, `scales=[temperature, length_scale]`, `spk_emb` (float32 [1, 64]); outputs `wav`, `wav_lengths` |
-| `onnx/voices.json` | speaker and style embedding tables for building `spk_emb` (any blend, any style), plus presets: Wojciech Masiak (default) and a 7-reader blend |
+| `onnx/voices.json` | speaker and style embedding tables for building `spk_emb` (any blend, any style), plus the default `synthetic` voice preset |
 | `data/speaker_map.json`, `data/speakers.json` | speaker id → reader |
 | `data/style_map.json`, `data/style_centroids.json` | style token definitions |
 | `samples/` | synthesised test sentences (`manifest.csv`: file, voice, text) |
@@ -37,15 +37,16 @@ git clone https://github.com/machinekind/tts-pl-playground.git && cd tts-pl-play
 python -c "from huggingface_hub import snapshot_download as d; d('machinekind/Matcha-TTS-PL', local_dir='.')"
 python playground.py --port 8771            # UI: voices, blends, style tokens, effects, sequence composer, video visualizer
 python synth_samples.py --ckpt model/matcha_pl_target.ckpt --vocoder vocoder/hifigan_pl.pt \
-    --sentences my_sentences.txt --speakers 2 --steps 4 --temperature 0 --out out/
+    --sentences my_sentences.txt --voice "0.15*0+0.05*1+1*2+0.15*3+0.15*4" --steps 4 --temperature 0 --out out/
 ```
 ONNX Runtime (CPU, GPU or in the browser), no PyTorch needed at run time:
 ```python
 import json, onnxruntime as ort, numpy as np
 vj = json.load(open("onnx/voices.json"))
 E = lambda i: np.array(vj["speakers"][str(i)]["emb"], np.float32)
-spk_emb = E(2)                                         # the default voice: Wojciech Masiak
-# a blend: v = mean of E(i); rescale v to the mean length of its parts (a plain average is too short)
+w = {int(i): x for i, x in vj["presets"]["synthetic"]["weights"].items() if x > 0}   # the default synthetic voice
+v = sum(x * E(i) for i, x in w.items()) / sum(w.values())
+spk_emb = v * sum(x * np.linalg.norm(E(i)) for i, x in w.items()) / sum(w.values()) / np.linalg.norm(v)   # rescale: a plain average is too short
 # add vj["styles"]["14"]["emb"] for a wider pitch range
 sess = ort.InferenceSession("onnx/matcha_pl_t4.onnx")
 x = phonemes  # int64 [1, T]: espeak-ng "pl" ids from the playground's polish_cleaners (see RECIPE.md §1)
@@ -60,7 +61,7 @@ Any voice is a weighted blend of speaker embeddings, optionally plus a style emb
 the ONNX graphs take `spk_emb` directly, with both tables in `onnx/voices.json`, so blends and styles need no re-export.
 The browser playground exposes this as a mixer.
 
-The default voice is Wojciech Masiak (speaker 2). A 7-reader blend (all except Piotr Kopa) is provided as a preset. Rescale every
+The default voice, `synthetic`, is a weighted blend of five readers (weights in `onnx/voices.json`). Rescale every
 blend to the average length of its component vectors: a plain average is much shorter than any trained voice and makes
 short sentences unstable. Blends of
 several readers are the recommended way to deploy (see *Licence and attribution* on voice rights).
@@ -94,7 +95,7 @@ terminal contour for yes/no questions (Polish wh-questions fall — write real p
 
 ## Quality
 
-### 10 conversational test sentences per voice (4 ODE steps, T 0.5, fine-tuned vocoder; mix0 = 7 readers, equal share, rescaled)
+### 10 conversational test sentences per voice (4 ODE steps, T 0.5, fine-tuned vocoder; mix0 = the default synthetic voice)
 
 | voice | n | WER | CER | UTMOS | F0 spread [st] | chars/s | silence % |
 |---|---|---|---|---|---|---|---|
@@ -106,7 +107,7 @@ terminal contour for yes/no questions (Polish wh-questions fall — write real p
 | Marek Proszek | 10 | 0.047 | 0.063 | 3.19 | 3.73 | 11.0 | 16 |
 | Piotr Kopa | 10 | 0.058 | 0.069 | 3.27 | 2.61 | 10.0 | 11 |
 | Radosław Krzyżowski | 10 | 0.035 | 0.015 | 2.81 | 2.04 | 10.2 | 22 |
-| mix0 | 10 | 0.012 | 0.002 | 3.13 | 2.10 | 10.2 | 19 |
+| mix0 | 10 | 0.012 | 0.002 | 3.33 | 3.11 | 11.6 | 15 |
 
 Whisper large-v3 WER/CER, UTMOS (`tarepan/SpeechMOS`), pitch spread. UTMOS does not capture the vocoder artefacts the
 fine-tune removes; the vocoder choice was made by listening (see `RECIPE.md` §4–5).
@@ -136,7 +137,7 @@ teacher-forced mels (generator lr 2e-5, discriminators 1e-5, 2k-step generator-o
 - Warm start: Matcha-TTS `matcha_vctk.ckpt` (MIT; VCTK corpus CC BY 4.0, CSTR, University of Edinburgh). Vocoder: HiFi-GAN
   universal v1 (MIT), fine-tuned here. Code: Matcha-TTS (MIT), jik876/hifi-gan (MIT), espeak-ng (GPL-3.0, runtime dependency).
 - **Voices are personal attributes.** The CC licence covers the recordings, not the readers' personality rights. The
-  recommended deployment is a blend of two or more readers under a neutral voice name (the seven-reader preset is one);
+  recommended deployment is a blend of two or more readers under a neutral voice name (the default synthetic voice is one);
   using a single reader's voice commercially should be cleared with the reader or Wolne Lektury. Readers are named here
   only as data sources.
 - Synthetic speech should be disclosed as such where the listener could otherwise take it for a person (EU AI Act, art. 50).

onnx/voices.json

@@ -1 +1 @@
-{"default": "masiak", "targets": [0, 1, 2, 3, 4, 5, 6, 7], "presets": {"masiak": {"label": "Wojciech Masiak (default)", "weights": {"0": 0.0, "1": 0.0, "2": 1.0, "3": 0.0, "4": 0.0, "5": 0.0, "6": 0.0, "7": 0.0}}, "mix7": {"label": "7 readers, equal share (Kopa 0)", "weights": {"0": 0.14285714285714285, "1": 0.14285714285714285, "2": 0.14285714285714285, "3": 0.14285714285714285, "4": 0.14285714285714285, "5": 0.14285714285714285, "6": 0.0, "7": 0.14285714285714285}}}, "speakers": {"0": {"name": "Bartosz Bielenia", "emb": [-0.320383, -0.41023, 0.090753, -0.869024, -0.182222, 0.487107, -0.109477, -0.234582, -0.250381, 0.48998, -1.02446, -0.214466, 0.241753, -1.236299, 0.347674, -0.772646, 0.557276, 0.380865, -0.262381, -1.259803, -0.101797, 0.495783, -0.400637, -0.93433, -0.293773, -1.314787, 0.268462, 0.315626, -1.124651, 0.721398, -0.955, 0.866683, -1.175854, 0.72011, -1.08455, -0.231478, -0.381934, 0.125826, -1.660241, 0.163807, 0.727422, 0.002194, -0.520782, -0.782349, 1.612001, -0.917611, 1.044637, 0.21138, 1.265621, -0.138507, -1.271047, -1.847624, -1.390499, 0.066661, -0.915011, 0.911317, 1.357393, 1.163705, 0.204493, 0.171241, 0.122085, -1.42611, -1.31655, 0.456792]}, "1": {"name": "Katarzyna Faszczewska", "emb": [0.695095, 0.699082, 0.22901, -0.116733, 0.255445, -0.856319, 0.363784, 0.464945, 0.175284, -0.168492, -1.628695, 1.025384, 0.741113, -0.035865, -0.908294, 0.799435, 0.210277, -0.805104, -0.640843, -0.426152, 0.200386, 0.147093, -0.372454, 0.085732, 0.286744, -1.025472, -0.267753, -0.416298, 0.253063, 1.751879, -1.2773, 0.054373, 0.365731, 1.117164, 0.211464, -0.177293, 1.026834, 1.492729, -0.537921, -0.057754, -0.626597, -0.391851, -1.369234, 0.931803, 0.509383, -0.029323, -0.200005, 0.787689, 0.925409, -0.38921, 1.949448, 2.017364, -0.402737, -0.693004, 1.288536, 0.46873, 0.217253, -0.715907, -0.278814, 1.396297, 0.944085, -0.422257, 0.894474, 0.429371]}, "2": {"name": "Wojciech Masiak", "emb": [-0.092602, -0.163215, -1.547872, 0.622951, 1.060288, -0.164745, -0.440899, -0.919319, -1.739044, 0.453459, -0.222871, -0.718129, 0.142615, -0.251527, 0.71868, 0.961866, -0.769425, 0.1546, 0.064053, -1.509171, -1.09773, -0.686639, 0.657824, 0.308356, -1.485763, -0.350208, 0.35359, -2.000987, -1.001979, 0.409585, 0.368828, -1.807978, -0.146126, -0.688906, -0.612468, 0.428232, 0.344154, -0.043696, -0.545767, 0.328045, -1.303477, -1.328277, 0.988106, 0.680313, -0.047607, 0.086737, -0.54239, -0.110172, 0.18195, -0.314703, -0.531061, -0.944611, 0.550795, -0.31448, -1.027582, 0.537829, 0.614049, -0.127644, 0.000803, 0.361614, -0.040958, 1.736704, -0.671584, 1.104545]}, "3": {"name": "Bartosz Głogowski", "emb": [-0.783138, 0.447033, -0.448405, 1.348548, 1.156653, 0.474053, 0.519, -0.983221, 0.747839, -0.776656, 1.498859, -0.957252, -0.098612, -0.778359, -0.928849, -1.166964, 0.20154, -0.874376, -1.486432, -0.47168, -0.627477, 0.489055, -0.248795, -0.154164, 0.704748, -0.194671, 0.603664, -0.436031, 0.617335, 1.573696, -0.258613, -0.613471, 0.152152, 0.137996, 0.171577, 2.796181, -0.073126, -0.136525, 0.729542, -0.04105, 0.12504, -2.164798, -0.821775, 0.823249, 0.052278, -0.083083, -0.657298, 0.015924, -0.169452, 0.546045, -0.215446, -0.113717, -0.031419, 0.709324, -0.621301, -0.99064, -0.018474, 0.104275, -1.232566, -0.193816, -0.96444, -0.287477, 0.873852, -0.152267]}, "4": {"name": "Jan Staszczyk", "emb": [-0.957448, 0.308931, -0.728058, -0.167886, -0.738104, -0.693508, 0.202533, 0.425268, -0.660802, 0.255037, 0.049405, 1.112248, 0.981017, 0.093703, 0.556672, -0.140215, -0.928945, 1.985526, -1.849927, -0.912033, -0.377396, 1.245986, -0.782552, -0.52737, 0.753292, -0.397619, -1.466951, 0.805838, 0.502713, -1.208947, -0.44777, -1.707, -1.316566, -0.184526, 0.740463, 0.740898, -1.271445, -1.145606, 0.755878, -0.331815, 0.503427, -0.532525, -0.748167, -0.50484, 0.203896, -0.093018, 0.133255, -0.500536, 0.895801, -0.934083, 1.513106, 0.726713, -0.411302, -0.469031, -0.766673, -0.559483, 0.373952, -1.128252, 0.735571, -0.714022, -0.855071, -1.035542, 0.099432, -0.582605]}, "5": {"name": "Marek Proszek", "emb": [-0.626732, 1.890005, -1.252103, -0.63988, -1.218086, -0.883516, -1.372152, 0.640705, 1.287899, -0.391162, -0.851711, -0.349642, -0.490526, -0.09692, -0.177293, 0.175347, -0.698178, -1.983861, 0.411033, -0.189307, 0.216904, -1.024802, 0.423045, 0.357652, -2.38642, 1.254269, 0.222903, 1.261454, 1.337239, 0.148072, 1.543526, -1.805176, -0.935774, -0.433659, -0.185451, -0.211396, 0.322471, -1.017662, -0.553984, 0.835432, 0.232177, 0.298607, 0.315554, -1.22747, 0.626671, -0.091076, 1.001317, 0.264701, -0.103043, -0.251088, 0.782892, 1.153826, 2.122511, -0.443865, -0.226002, -0.300168, -1.086635, -1.392545, 1.411855, -0.918533, 1.124139, -0.248495, 0.224192, 0.783639]}, "6": {"name": "Piotr Kopa", "emb": [-0.53809, 1.833494, -0.837728, -0.423197, -0.856955, -0.394317, 1.096336, -2.131953, -1.724901, 0.464722, 0.371995, -1.212109, 0.48724, 0.268475, 0.613373, -0.34693, -1.040308, -0.367833, -1.115532, 1.360638, -1.403797, -0.965236, -0.597369, 0.005469, -0.154379, 0.537347, -0.156132, 0.006636, -0.359108, 0.962407, -0.621033, 1.277809, -0.421771, -0.342622, 0.173187, 0.739858, -0.533479, -0.234828, 1.656654, 0.713922, 0.695608, -0.62082, 1.376418, -0.619833, 0.717202, 1.060305, -0.409342, 0.617831, -0.70832, 1.188802, 0.311305, 0.575121, 2.406187, -0.746673, -0.972682, 1.136378, -0.134821, 1.511524, 0.665619, 0.592373, 0.380421, 0.620815, -0.524453, 0.532633]}, "7": {"name": "Radosław Krzyżowski", "emb": [0.233986, 0.719383, -0.555703, -1.01137, -0.833383, -2.242621, -0.630291, -0.495605, 0.246193, 0.027737, 0.438916, -0.310386, -0.78892, -1.701292, -0.601602, 0.028822, 0.129541, 0.076309, 0.920796, 0.527723, -0.311771, -0.321262, -0.044345, -1.046813, 0.941518, -0.847254, -0.530039, -0.631452, -0.653206, 1.658179, 0.040049, 0.964389, -0.274593, 0.442048, 0.98504, -0.91952, 0.485203, 0.058611, 0.089188, 0.11445, 1.34265, -0.570162, 0.369513, -1.113387, -0.16512, 0.667118, 0.282937, -0.445175, 0.485314, -1.064322, 0.507257, -0.779216, -0.114751, -1.264794, -0.607234, -0.475949, 1.26873, -0.971208, -1.449531, -1.291877, -0.928743, 0.887946, -0.821899, 0.002995]}, "8": {"name": "Andrzej Seweryn", "emb": [1.294045, 1.255632, -0.324452, -0.24143, -1.54616, -0.919717, 0.291015, 1.169997, 1.469854, 0.240181, -0.238851, -1.498643, -0.06518, -0.290294, -0.588969, -1.47815, -0.615985, -1.462757, 0.500787, -0.268391, -0.263745, -0.20305, -1.179495, 0.559703, 0.497446, 0.245968, 0.513014, -0.531067, 0.618274, -0.227339, -1.024886, 0.086171, -0.695255, -0.020192, 1.25395, -1.888721, -1.462459, -1.069726, 0.880736, 0.233355, 0.207774, -0.04907, -1.579226, -0.703093, -0.194903, 0.365807, -0.178535, 0.373935, 1.395235, 0.011369, -0.96042, -0.316518, -1.286555, -0.54084, -0.516556, 1.830027, 0.522416, -0.32351, -0.739859, 0.155786, 0.394575, -1.908461, 0.505837, 0.382478]}, "9": {"name": "Magdalena Gaweł", "emb": [0.244496, 1.060751, 0.487645, 0.253406, 1.455785, -0.983504, -0.323005, -0.448399, -0.675975, -1.361271, -0.327636, -0.704733, 0.36496, -1.791612, 0.19533, -0.580078, 0.117575, -2.126632, -0.709018, -0.529689, -1.473842, 0.301258, 0.603836, -0.454031, 0.326771, -1.419877, -0.659912, 0.383553, -0.327174, 0.996877, -0.059771, 0.273377, -2.2527, -0.328126, 0.625622, -0.047005, 0.447616, 0.416237, 1.06208, -0.148478, 0.122496, 0.302851, -0.668865, -0.563518, -1.096668, 1.034461, 0.190308, 0.130817, -0.241403, 0.6062, 0.970298, 0.351963, -0.388443, -0.576136, 0.475828, -2.748148, 0.143315, -0.325984, -0.326169, -1.1557, 0.526202, -0.805655, 0.96737, 0.600974]}, "10": {"name": "Jakub Sasak", "emb": [-0.169455, 0.322765, -0.48967, -0.25466, -1.504923, -0.776457, 0.67679, -0.925493, -0.581465, -0.060705, 0.380224, -0.556798, -0.015431, 0.5403, 1.073553, 1.087406, -0.104859, -1.252375, 0.410561, -0.805792, 0.16448, 0.644403, 0.183704, -0.747931, 0.310835, -0.767502, -0.460293, -0.656692, -0.697349, 2.092463, -0.153532, 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samples/eval.md

@@ -8,4 +8,4 @@
 | c10 | spk5 | 10 | 0.047 | 0.063 | 3.19 | 3.73 | 11.0 | 16 |
 | c10 | spk6 | 10 | 0.058 | 0.069 | 3.27 | 2.61 | 10.0 | 11 |
 | c10 | spk7 | 10 | 0.035 | 0.015 | 2.81 | 2.04 | 10.2 | 22 |
-| c10 | mix0 | 10 | 0.012 | 0.002 | 3.13 | 2.10 | 10.2 | 19 |
+| c10 | mix0 | 10 | 0.012 | 0.002 | 3.33 | 3.11 | 11.6 | 15 |

samples/v3_mix0_s05.wav

@@ -1,3 +1,3 @@
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+size 160300