Here, we investigate the potential of large language models (LLMs) as error correction modules for ASR.We leverage Whisper-medium or ASRLibriSpeech for speech recognition, and GPT-3.5 or GPT-4 for error correction.We employ various prompting methods, from zero-shot to few-shot with leading ...
在这些产品的背后,用户使用的“唤醒词”通常会触发一个自动语音识别(automatic speech recognition, ASR)系统,该系统会转录后续用户的请求。随后,自然语言理解(natural language understanding, NLU)管道会将此请求转换为一种结构化格式,用于通过自然语言生成(natural language generation, NLG)生成文本答案或可执行命令。
以前的研究通常将言语情感获取视为一项分类任务,称为言语情感识别 (speech emotion recognition, SER)(El Ayadi, Kamel et al. 2011; Nwe, Foo, and De Silva 2003; Jiang et al. 2019),其中恐惧和快乐等情绪被分配到离散的类别。近年来,由于创新模型架构的出现,此类 SER 任务的性能取得了长足的进步。 然而...
Security Insights Additional navigation options main 1Branch0Tags Code This branch is18 commits behindopenai/whisper:main. README License Whisper [Blog][Paper][Model card][Colab example] Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and ...
multilingualpythonaipytorchspeech-recognitionspeech-to-textasrcross-lingualspeech-emotion-recognitionaudio-event-classificationaigcllmgpt-4o UpdatedNov 29, 2024 Python MiteshPuthran/Speech-Emotion-Analyzer Star1.3k The neural network model is capable of detecting five different male/female emotions from audi...
Riva is an end-to-end GPU-accelerated SDK for developing speech applications. In this series, we discussed the significance of speech recognition in industries, walked you through customizing speech recognition models on your domain to deliver world-class accuracy, and showed you how to deploy opti...
Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLMs). Although shallow fusion is the most common approach...
Speech AI components typically form part of a larger voice-basedconversational AIsystem, which combines various technologies such as automatic speech recognition,large language model(LLM) enhanced withretrieval-augmented generation(RAG), and text-to-speech to understand and respond to different interactions...
The integration of large language models (LLMs) with pre-trained speech models has opened up new avenues in automatic speech recognition (ASR). While LLMs excel in multimodal understanding tasks, effectively leveraging their capabilities for ASR remains a significant challenge. This paper presents a...
The impressive capability and versatility of large language models (LLMs) have aroused increasing attention in automatic speech recognition (ASR), with several pioneering studies attempting to build integrated ASR models by connecting a speech encoder with an LLM. This paper presents a comparative ...