A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc. - caomusheng526/FunASR
Houjian Guo12, Chaoran Liu3, Carlos Toshinori Ishi13, Hiroshi Ishiguro23 QuickVC: Any-To-Many Voice Conversion Using Inverse Short-Time Fourier Transform for Faster Conversion Abstract With the development of automatic speech recognition (ASR) and text-to-speech (TTS) technology, high-quality voi...
voice commands; and a voice-recognition unit is used to perform a voice recognition algorithm to recognize the user's voice command, and which can further retrieve the corresponding remote-control code from the remote-control code data... ...
Han Cao\nXin Wang\nJun ChenCommunications- Sound to Light, vol.3: IEEE(Institute of Electrical and Electronics Engineers) International Conference on Communications(ICC'87) June 7-10 1987 Seattle, Washington, USAQuincy, " Prolog-Based Expert Pattern Recognition System Shell for Technology ...
Reversal of hoarseness with recognition of Ortner syndrome in a patient with severe mitral regurgitation. J Cardiol Cases. 2013;2:e48–50. https://doi.org/10.1016/j.jccase. Article Google Scholar Shastry A, Balasubramanium RK, Acharya PR. Voice analysis in individuals with chronic obstructive...
The pre-trained model was also used in WavThruVec [11]. Although the work itself mainly refers to voice synthesis, it also engages with conversion in its operation. Based on transformers, the applied pre-trained speech recognition model Wav2vec 2.0 [28] performs well as a characteristic lingu...
The models were integrated by calculating the unweighted average of the posterior probabilities for each model. The emotion class with the highest average probability was then chosen [44]. 2.2. Deep Learning Approaches in Voice-Based Emotion Recognition The speech emotion recognition system has two ...
This model was developed using TensorFlow [49] and Keras [50] as the front-end system. 5.2.4. Discrete Emotion Recognition Results The average accuracy of 10 runs, the standard deviation, and the highest and lowest accuracy are illustrated in Table 9 for each set separately (females, males,...
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. In Proceedings of the 22nd International Society for Music Information Retrieval Conference, Online, 7–12 November 2021; pp. 318–325. [Google Scholar] Liu, Z.; Li, Z. Music Data Sharing ...
This usage pattern can be attributed to a variety of factors such as a lack of knowledge about the IVA’s capabilities, lack of practicality, frustration with speech recognition errors, or motivation issues during the study. To gain a deeper understanding of the impact of voice assistants on ...