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SenseVoice focuses on high-accuracy multilingual speech recognition, speech emotion recognition, and audio event detection. Multilingual Speech Recognition: Trained with over 400,000 hours of data, supporting more than 50 languages, the recognition performance surpasses that of the Whisper model. Rich tr...
relating to or denoting the nonlexical elements of communication of speech [1]. Paralinguistic attributes (properties) of speech play an important role in human communication. Much previous research works focus on speech emotion recognition [2–4]. Nowadays, due to the development of artificial inte...
Speech of this emotion displays displeasure and contempt. style="documentary-narration" Narrates documentaries in a relaxed, interested, and informative style suitable for dubbing documentaries, expert commentary, and similar content. style="embarrassed" Expresses an uncertain and hesitant tone when the ...
GitHub Repo Live Demo Here’s a bird’s eye view of what we’re building: Setting up LUIS We’ll get a free trial account for Azure and then go to the portal. We’ll select Cognitive Services. After picking New → AI/Machine Learning, we’ll select “Language Understanding” (or LU...
FunLLM's SenseVoice offers multilingual ASR, emotion recognition, and audio event detection, while CosyVoice excels in multilingual voice generation and cross-lingual voice cloning. Views : 1,796 by Gopika Raj Researchers from Alibaba unveiled FunAudioLLM, a groundbreaking framework designed to...
Schuller B, Reiter S, Muller R, Al-Hames M, Lang M, Rigoll G (2005) Speaker independent speech emotion recognition by ensemble classification. In: Proceedings of IEEE International Conference on multimedia and expo, Netherlands, pp 864–867 ...
funaudiollm.github.io/ Topics multilingualpythonaipytorchspeech-recognitionspeech-to-textasrcross-lingualspeech-emotion-recognitionaudio-event-classificationaigcllmgpt-4o Resources Readme License View license Activity Custom properties Stars 3.2k stars ...
Furthermore, we compared multiple open-source speech emotion recognition models on the test sets, and the results indicate that the SenseVoice-Large model achieved the best performance on nearly all datasets, while the SenseVoice-Small model also surpassed other open-source models on the majority ...
2019. Available online: https://pypi.org/project/SpeechRecognition/ (accessed on 1 September 2019). Watson, I.B.M. Ibm-Watson: NaturalLanguageUnderstandingV1. 2019. Available online: http://watson-developer-cloud.github.io/node-sdk/master/classes/naturallanguageunderstandingv1.html (accessed on...