Acoustics, Speech, Natural Language Processing and Analysis
Acoustic digital signals are ubiquitous and have many applications in several disciplines, notably in:
-Digital Media, Social Media (music, voice signals),
-Biomedical Signal Analysis and Diagnosis,
-Scientific signal acquisition of any sort, e.g., Environment Sensing, Geophysical Prospecting.
Text can be considered as 1D signal, as it evolves over time (actually as an order time series of letters or words). Its analysis is extremely important in social media applications (e.g., Tweet analysis), in the analysis of any written and/or broadcasted text (e.g., news articles in newspapers) and in literary text analysis.
This CVML Web Module focuses on Acoustics, Speech and Text Processing and Analysis and their applications. Music genre recognition can be used to automatically characterize music style.
Neural Speech Recognition can be used for speech to text mapping. Natural Language Processing (NLP) and can be used, among others, for vectorial text embedding that has numerous applications in text comparison, search and text sentiment analysis.