audioFlux
audioFlux is a deep learning tool library developed for feature extraction with sound and music analysis. Time-frequency analysis supports time and frequency field feature combinations with conversion methods. It can be used in a variety of audio field tasks such as classification, audio parsing, music information access, and automatic speech recognition.
libAudioFlux · Music & Audio Technology
Common commercial products in this category: Adobe Audition, Ableton Live, Spotify
- You train deep learning networks by producing multidimensional feature combinations.
- You run time-frequency conversion methods such as BFT, NSGT and CWT.
- You perform audio processing with PitchShift, TimeStretch and TuneTrack algorithms.
- • NeutralHacker News
Deep learning tool audioFlux: a systematic audio feature extraction library
“Thanks for sharing! I’ve been using some TTS to make audiobooks for my kids. Sometimes there will be weird artifacts (sounds like someone brushing against a microphone), or the voice will change from masculine to feminine during quotes, or it will struggle to speak a phrase and…”
- • NeutralHacker News
Introducing audioFlux: a deep learning tool for audio feature extraction
“audioFlux is a library implemented in C and Python, which provides systematic, comprehensive and multi-dimensional feature extraction and combination in the audio field. In combination with various deep learning network models, it carries out business research and development in…”
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