514 citations · 518 across the 11 of their papers we have counts for
5 papers · 1 filter
Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization
Luca Della Libera, Cem Subakan, Mirco Ravanelli
Neural audio codecs are at the core of modern conversational speech technologies, converting continuous speech into sequences of discrete tokens that can be processed by LLMs. Howe…
Sample Compression for Self Certified Continual Learning
Jacob Comeau, Mathieu Bazinet, Pascal Germain +1
Continual learning algorithms aim to learn from a sequence of tasks. In order to avoid catastrophic forgetting, most existing approaches rely on heuristics and do not provide compu…
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
Luca Della Libera, Francesco Paissan, Cem Subakan +1
Large language models have revolutionized natural language processing through self-supervised pretraining on massive datasets. Inspired by this success, researchers have explored a…
Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming
Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari +2
We propose a novel approach for humming transcription that combines a CNN-based architecture with a dynamic programming-based post-processing algorithm, utilizing the recently intr…
Learning the Base Distribution in Implicit Generative Models
Cem Subakan, Oluwasanmi Koyejo, Paris Smaragdis
Popular generative model learning methods such as Generative Adversarial Networks (GANs), and Variational Autoencoders (VAE) enforce the latent representation to follow simple dist…