4 papers
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Karim Othman, Pratik Jawahar, Jonas Petersen +14
Industrial machines are actuated systems, yet most open time-series corpora record sensor outcomes alone; the few that do log commanded signals expose them in vendor-specific forms…
FactoryBench: Evaluating Industrial Machine Understanding
Yanis Merzouki, Coral Izquierdo, Matei Ignuta-Ciuncanu +8
We introduce FactoryBench, a benchmark for evaluating time-series models and LLMs on machine understanding over industrial robotic telemetry. Q&A pairs are organized along four cau…
VCNAC: A Variable-Channel Neural Audio Codec for Mono, Stereo, and Surround Sound
Florian Grötschla, Arunasish Sen, Alessandro Lombardi +2
We present VCNAC, a variable channel neural audio codec. Our approach features a single encoder and decoder parametrization that enables native inference for different channel setu…
Controllable Emphasis with zero data for text-to-speech
Arnaud Joly, Marco Nicolis, Ekaterina Peterova +11
We present a scalable method to produce high quality emphasis for text-to-speech (TTS) that does not require recordings or annotations. Many TTS models include a phoneme duration m…