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Efficient Computing

6,876 papers

Papers per year

Papers

A Parameter-efficient Language Extension Framework for Multilingual ASR INTERSPEECH 2024
LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR INTERSPEECH 2024
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR INTERSPEECH 2024
Low Bitrate High-Quality RVQGAN-based Discrete Speech Tokenizer INTERSPEECH 2024
All Neural Low-latency Directional Speech Extraction INTERSPEECH 2024
Knowledge boosting during low-latency inference INTERSPEECH 2024
Dynamic Data Pruning for Automatic Speech Recognition INTERSPEECH 2024
Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization INTERSPEECH 2024
SparseWAV: Fast and Accurate One-Shot Unstructured Pruning for Large Speech Foundation Models INTERSPEECH 2024
One-pass Multiple Conformer and Foundation Speech Systems Compression and Quantization Using An All-in-one Neural Model INTERSPEECH 2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models INTERSPEECH 2024
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting INTERSPEECH 2024
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting INTERSPEECH 2024
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition INTERSPEECH 2024
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models INTERSPEECH 2024
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? INTERSPEECH 2024
FastAST: Accelerating Audio Spectrogram Transformer via Token Merging and Cross-Model Knowledge Distillation INTERSPEECH 2024
Zero-shot Out-of-domain is No Joke: Lessons Learned in the VoiceMOS 2023 MOS Prediction Challenge INTERSPEECH 2024
Training speech-breathing coordination in computer-assisted reading INTERSPEECH 2024
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee JMLR 2024
Resource-Efficient Neural Networks for Embedded Systems JMLR 2024
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024
PromptBench: A Unified Library for Evaluation of Large Language Models JMLR 2024
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024