Enroll Course: https://www.udemy.com/course/classificacao-de-audio-com-python-guia-completo/
If you’re interested in the rapidly evolving field of Natural Language Processing (NLP) and audio classification, ‘Classificação de Áudio com Python: O Guia Completo’ on Udemy is an exceptional course that covers both the theoretical foundations and practical implementation of audio classification techniques using Python. This course is meticulously structured into seven comprehensive modules, making it suitable for beginners and intermediate learners alike.
The course begins with an essential overview of audio signals, including concepts such as amplitude, frequency, decibels, and digital representation. This foundational knowledge is crucial for understanding how audio data can be processed and fed into machine learning algorithms. Moving beyond theory, the instructor demonstrates practical techniques for extracting features from audio files using the Librosa library, including waveforms, spectrograms, and Mel Frequency Cepstral Coefficients (MFCCs).
A highlight of this course is the hands-on project work. Participants will train neural networks with real-world datasets like UrbanSound8K for environmental sound classification, and leverage pre-trained models like YAMNet for broader audio event detection, including bird song classification through transfer learning. The course also explores emotion recognition from speech using the RAVDESS dataset and introduces the basics of building voice assistants with command recognition using the mini-speech-commands dataset.
Moreover, the course includes training on speech transcription using the SpeechRecognition library, allowing learners to develop applications that convert spoken language into text. All code demonstrations are provided in Google Colab, eliminating the need for complex software setups or hardware configurations.
With over 90 lessons and more than 12 hours of detailed video content, this course offers a thorough and accessible pathway into audio classification with Python. Whether you’re seeking to enhance your skillset for a career in AI or develop innovative solutions for clients, this course provides the tools, knowledge, and practical experience to succeed.
I highly recommend this course for anyone interested in audio processing, machine learning, or NLP. It’s a comprehensive, well-structured resource that will equip you with the skills to tackle real-world audio classification challenges.
Enroll Course: https://www.udemy.com/course/classificacao-de-audio-com-python-guia-completo/