Once-for-All Sequence Compression for Self-Supervised Speech Models

4 November 2022

Papers citing "Once-for-All Sequence Compression for Self-Supervised Speech Models"

5 / 5 papers shown

Title
Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding Dianwen Ng Kun Zhou Yi-Wen Chao Zhiwei Xiong B. Ma E. Chng 33 0 0 12 May 2025
One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model Zhaoqing Li Haoning Xu Tianzi Wang Shoukang Hu Zengrui Jin Shujie Hu Jiajun Deng Mingyu Cui Mengzhe Geng Xunying Liu MQ 37 1 0 14 Jun 2024
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction Jiatong Shi Hirofumi Inaguma Xutai Ma Ilia Kulikov Anna Y. Sun 48 24 0 04 Oct 2023
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study Salah Zaiem Robin Algayres Titouan Parcollet S. Essid Mirco Ravanelli 52 14 0 12 Mar 2023
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 285 2,015 0 28 Jul 2020