I will do realtime speech recognition asr audio analysis text to speech and voice clone

Hi valued client!

With over 4 years of experience as an award-winning ML Engineer, I'm here to help your audio data using python. I specialize in creating cutting-edge systems that not only discern emotions from spoken words but also provide comprehensive audio insights.

I've successfully implemented emotion recognition algorithms and audio analysis techniques for diverse applications, from enhancing user experiences to optimizing content delivery. I've created Audio Based Solutions for top-world startups and enterprises, and I can do the same for you from Hidden Markov Models to Stable Diffusion.

I can help you in:

Analyze and Manipulation of Audio Signals.

Collecting and Annotating 

Speech Emotion Recognition

Sound Classification

Speech/Non-speech Classification

Audio Scene Summarization

Audio Anomaly Detection

Audio Language Recognition

Realistic Audio and Music Generation

Audio data Visualization

Audio Data Augmentation

Audio Data Preparation

Audio Data Modeling

Toolbox:

TensorFlow:

Pytorch

SkLearn

Magenta Studio

LibROSA

MusicVAE

MuseNet

MusicLM

Whisper

Meta Audicraft

Because this field is so large, please send me your questions ahead of time so I can verify.