Kokoro-82M for Glade
Native-context conversion of Kokoro-82M v1.0.
It accepts phonemes and generates mono 24 kHz Float PCM. The bundle includes
af_heart and am_adam; measurements use af_heart at speed 1.
Glade is a native Swift library for speech inference on Apple silicon, using
Core AI, Core ML, and model-specific host implementations. Its runtime source is
currently private. This repository distributes the model assets and runtime
metadata used by that library. Python is export/measurement tooling, not an
application dependency. Mac qualification is included; iPhone and Watch
qualification is not claimed. Download weights and configuration from one snapshot.
Bundle and execution
The profile retains up to 510 phoneme symbols, with 512 text positions including
boundaries and 1,280 acoustic frames (32 seconds). It preserves full-utterance
normalization with padding excluded. Over-capacity input reports an error rather
than truncating or independently windowing an utterance.
Text runs on ANE; prosody/acoustic graphs and waveform generation use GPU. Native
CPU code handles bidirectional recurrence, harmonic synthesis and FFT/overlap-add.
A compatible client phonemizer is required. Runtime preferences, capacities,
vocabulary and voice inventory are in metadata.json; CPU weights/layout are
cpu.f32/cpu.json. There are four source .aimodel assets and two voice tables.
No compiled specialization cache or generated audio is included.
Measured Mac performance
M3 MacBook Air, 16 GB, macOS 27.0.1; warmed Release runtime. The complete text of
JFK's “We choose to go to the Moon” speech uses the same 41 original Kokoro/Misaki
chunks, up to 509 phonemes, in both implementations.
| Runtime |
Generated audio |
Synthesis |
RTFx |
| Glade native-context profile |
12 min 13 s |
34.44 s |
21.3× |
| MLX-Audio FP16, same native chunk plan |
12 min 13 s |
53.37 s |
13.7× |
RTFx is generated audio divided by synthesis time. G2P, preparation and WAV writing
are excluded; recurrence, signal work, cache cleanup and neural calls are included.
Sampled simultaneous client footprint plus neural accounting peaked at 1.31 GiB.
Only one Mac/input/voice is represented. Source RNG distributions match, but RNG
sequences differ. Numerical controls and full-text recognition checks do not
establish general perceptual or voice-similarity equivalence.
Source assets require device specialization. No isolated pristine-cache preparation
measurement is available for this packaged profile. Packaging removes source-location
metadata and checks unchanged graph signatures and operation statistics; it does
not distribute an AoT cache or imply an all-ANE vocoder.
Attribution
Upstream weights/source revision: f3ff3571791e39611d31c381e3a41a3af07b4987.
Weights and original Kokoro code use Apache-2.0; see LICENSE and the upstream card.
Kokoro acknowledges StyleTTS2 and iSTFTNet. No additional training is performed.
