metadata
license: cc-by-nc-4.0
pipeline_tag: audio-classification
tags:
- audio
- audio-classification
- torchscript
- music
- playing-techniques
- real-time
- max-msp
ipt_models
Pretrained instrumental playing-technique recognition models for ipt~, pipo.ipt and any host built on libipt.
Models are TorchScript (.ts) files trained and exported with ipt_recognition. Documentation, classes and specifications of each model live in the ipt_models GitHub repository.
| Model | Instrument | Classes | Sample rate | Latency floor | Dataset | Card |
|---|---|---|---|---|---|---|
eguitar_ircam.ts |
Electric guitar | 14 | 8 kHz | 896 ms | EG-IPT | card |
flute_ircam.ts |
Flute | 11 | 44.1 kHz | 333 ms | GFD | card |
trumpet_ircam.ts |
Trumpet | 14 | 44.1 kHz | 333 ms | T-IPT (not public yet) | card |
trumpet_harmon_ircam.ts |
Trumpet, harmon mute | 14 | 44.1 kHz | 333 ms | T-IPT (not public yet) | card |
Usage
Download a .ts file, put it in Max's search path (or give an absolute path), then:
ipt~ flute_ircam.ts
pipo~ ipt @ipt.model flute_ircam.ts
Or from the command line:
hf download nbrochec/ipt_models flute_ircam.ts --local-dir .
A model takes (batch, 1, segment_length) float32 raw audio and returns logits (batch, num_classes); it exports get_sr(), get_seglen() and get_classnames(). Exported with torch 2.4.1, the version libipt links against.
License
CC-BY-NC-4.0.
Contact
Please write to nicolas.brochec[at]ircam.fr for any questions.