In speech recognition, voices may come from different speakers9,10. In sentiment analysis, various text sources, such as electronics or DVDs, are used for analysis11,12. In healthcare, acquiring labeled data and large samples is even more challenging. For instance, in medical image analysis, ...
On the last couple of days, I'd gotten away from work long enough so that I'd unwound and was able to have a couple of productive writing sessions on my current work in process, in between kayak rides and visits to the local restaurants. Here's a scene from that trip. A couple of...
USAD China Stage * 1 gold, 3 silver (team national 6th place; social science gold, interview, writing & speech silver) USAD Virtual Nationals * 3 silver one bronze (2 in social science, 2 in writing) Harvard International Review Writing Contest - outstanding writing style BPhO top gold SIN ...
On the other hand, ML can provide more flexible models because it can handle different types of data, such as images, text, and speech, and it can model complex relationships among different variables. The proposed study evaluated eight ML models with data obtained from sensors, helping ...
In Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, Olomouc, Czech Republic, 8–12 December 2013; pp. 315–320. [Google Scholar] Alaskar, H. Deep learning-based model architecture for time-frequency images analysis. Int. J. Adv. Comput. Sci. Appl. ...
Arduino. Arduino Nano 33 BLE Sense. 2023. Available online:https://store-usa.arduino.cc/products/arduino-nano-33-ble-sense(accessed on 18 September 2023). Waqar, D.M.; Gunawan, T.S.; Morshidi, M.A.; Kartiwi, M. Design of a Speech Anger Recognition System on Arduino Nano 33 BLE ...
Partitioning and state generalization among activities is achieved by drawing inspiration from speech recognition, while the interoperability of the underlying structure of human actions seems to be better in HMM than in neural networks [44]. 2.2. Heuristic-Based Fall Detectors Methods belonging to ...