fernando-figueredo
Student of the 10th semester of Electronic Engineering by the Instituto Federal de São Paulo (IFSP), Mechatronics Technician by SENAI Roberto Simonsen
Ericsson Telecomunicações S.A.São Paulo - SP
Pinned Repositories
003-arquitetura-flask
Arquitetura definitiva para projetos Flask
Chords.py
Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core
ChordsWebApp
Web Application for automatic musical chords transcription
Ola-Mundo
Tutorial do Curso em Vídeo
Speaker-Diarization
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
STT-Dataset-Generator
This notebook generates a Training Dataset that can be applied in Speech to Text Artificial Intelligence such as Mozzilla Deepspeech. the dataset can be generated from .wav audios, which can be extracted from youtube videos for example, and are transcribed by the library "SpeechRecognition" which in this case used the Google API for Transcription in PT-BR
STTWebApp
Web Application that uses the tool "Vosk" to transcribe audios to texts in portuguese
fernando-figueredo's Repositories
fernando-figueredo/STTWebApp
Web Application that uses the tool "Vosk" to transcribe audios to texts in portuguese
fernando-figueredo/ChordsWebApp
Web Application for automatic musical chords transcription
fernando-figueredo/STT-Dataset-Generator
This notebook generates a Training Dataset that can be applied in Speech to Text Artificial Intelligence such as Mozzilla Deepspeech. the dataset can be generated from .wav audios, which can be extracted from youtube videos for example, and are transcribed by the library "SpeechRecognition" which in this case used the Google API for Transcription in PT-BR
fernando-figueredo/003-arquitetura-flask
Arquitetura definitiva para projetos Flask
fernando-figueredo/Chords.py
Neural networks applied in recognizing guitar chords using python, AutoML.NET with C# and .NET Core
fernando-figueredo/Ola-Mundo
Tutorial do Curso em Vídeo
fernando-figueredo/Speaker-Diarization
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition