Improving Speech Recognition with Jargon Injection

Improving Speech Recognition with Jargon Injection - ACL Anthology

The method next forces the decoding of Whisper to more focus on the jargon by adjusting the probability of generated tokens with the use of the trie tree. To ...

[SIGDIAL'24] Improving Speech Recognition with Jargon Injection

[SIGDIAL'24] Improving Speech Recognition with Jargon Injection - Cinnamon/whisper-jargon.

Improving Speech Recognition with Jargon Injection | Request PDF

Improving Speech Recognition with Jargon Injection ... To read the full-text of this research, you can request a copy directly from the authors.

Prompt Injection in Speech Recognition Explained - Gladia

Relying on Gladia's expertise in Audio Intelligence AI, in this blog I will cover how prompt injection in Speech Recognition is used to enhance Automatic Speech ...

Keyword-Guided Adaptation of Automatic Speech Recognition - arXiv

Al- lauzen, “Improving contextual biasing with text injection,” in. ICASSP 2023-2023 IEEE International Conference on Acoustics,. Speech and ...

Speech recognition AI learns industry jargon with aiOla's novel ...

The problem of jargon in speech recognition ... Over the last few years, deep learning on hundreds of thousands of hours of audio has enabled the ...

How NLP Techniques Can Boost Speech Recognition Accuracy

3) Language Modeling: Using a language model to correct or refine the output based on grammar, spelling, or domain knowledge can help improve ...

Improving Speech Recognition with Prompt-based Contextualized ...

McDonell, “Prompt programming for large language models: Beyond the few-shot paradigm,” in Extended. Abstracts of the 2021 CHI Conference on ...

Using Text Injection to Improve Recognition of Personal Identifiers in ...

Comments: Accepted to Interspeech 2023 ; Subjects: Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS) ; MSC ...

Improving Speech Recognition with Audio-to-Intent Front-End

10 Citations · Generalized Zero-Shot Audio-to-Intent Classification · Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models.

generative speech recognition error correction with large language

Prior study [2] has shown the ground truth demonstrations impose smaller effect than the author expected and significant zero-shot performance improvement.

Interventional Speech Noise Injection for ASR Generalizable ...

Presents a novel speech noise injection technique to improve the performance of automatic speech recognition (ASR) systems for spoken language ...

Text Injection for Capitalization and Turn-Taking Prediction in ...

Index Terms: speech recognition, text injection, auxiliary tasks. 1 ... an external LM to improve ASR recognition quality, have been.

Speech Recognition & Speech Synthesis Glossary (A-G)

Active learning also allows the system to improve its accuracy over time, as it continues to learn and refine its model based on feedback and interactions with ...

Basics of Speech Recognition and Customization of Riva ASR

Introducing a language model to an ASR pipeline is an easy way to improve accuracy for natural language and can be fine-tuned for niche settings. In short, an n ...

Discovering phonetic inventories with crosslingual automatic speech ...

... language phonotactics on phone recognition performance in multilingual and zero-shot scenarios ([RQ3]). To measure the effect of phonotactic information ...

Improving Multilingual and Code-Switching ASR Using Large ...

The multilingual experiment shows a 6.2 \% relative WER reduction on average, i.e., from 11.25 \% to 10.55 \%, compared to a baseline without text injection.

ZERO-SHOT LEARNING FOR SPEECH RECOGNITION

However, it was not helpful to improve the results because the phoneme inventory of English and target language are different, thus unique phonemes in target.

Improving On-Device Speech Recognition with VoiceFilter-Lite

Over-suppression is especially problematic since modern speech recognition models are usually already trained with extensively augmented data ( ...

Speech recognition - Wikipedia

Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The ...