Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation
Existing research suggests that automatic speech recognition (ASR) models can benefit
from additional contexts (eg, contact lists, user specified vocabulary). Rare words and …
from additional contexts (eg, contact lists, user specified vocabulary). Rare words and …
Chain-of-Thought Prompting for Speech Translation
Large language models (LLMs) have demonstrated remarkable advancements in language
understanding and generation. Building on the success of text-based LLMs, recent research …
understanding and generation. Building on the success of text-based LLMs, recent research …
[PDF][PDF] Contextual Biasing Speech Recognition in Speech-enhanced Large Language Model
Recently, the rapid advancements in audio-and speechenhanced large language models
(SpeechLLMs), such as Qwen-Audio and SALMONN, have significantly propelled automatic …
(SpeechLLMs), such as Qwen-Audio and SALMONN, have significantly propelled automatic …
Fast Context-Biasing for CTC and Transducer ASR models with CTC-based Word Spotter
Accurate recognition of rare and new words remains a pressing problem for contextualized
Automatic Speech Recognition (ASR) systems. Most context-biasing methods involve …
Automatic Speech Recognition (ASR) systems. Most context-biasing methods involve …
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
End-to-end automatic speech recognition (E2E ASR) systems have significantly improved
speech recognition through training on extensive datasets. Despite these advancements …
speech recognition through training on extensive datasets. Despite these advancements …
ConEC: Earnings call dataset with real-world contexts for benchmarking contextual speech recognition
Knowing the particular context associated with a conversation can help improving the
performance of an automatic speech recognition (ASR) system. For example, if we are …
performance of an automatic speech recognition (ASR) system. For example, if we are …
[PDF][PDF] Improving Speech Recognition with Prompt-based Contextualized ASR and LLM-based Re-predictor
NMT Anh, TH Sy - isca-archive.org
In recent years, advancements in automatic speech recognition (ASR) systems have led to
their widespread use in applications such as call center bots and virtual assistants …
their widespread use in applications such as call center bots and virtual assistants …