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Found 4 papers, 2 papers with code
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correction
Automatic speech recognition (ASR) systems often encounter difficulties in accurately recognizing rare words, leading to errors that can have a negative impact on downstream tasks such as keyword spotting, intent detection, and text summarization.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface
Performing data-intensive tasks in the von Neumann architecture is challenging to achieve both high performance and power efficiency due to the memory wall bottleneck.
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
Word embedding has become essential for natural language processing as it boosts empirical performances of various tasks.
Causally Denoise Word Embeddings Using Half-Sibling Regression
Distributional representations of words, also known as word vectors, have become crucial for modern natural language processing tasks due to their wide applications.
