Tensorflow Audio Classification
Budget: ₹37,500 – ₹75,000 INR
Project Title: Tensorflow Audio Classification - Noise Detection
I am looking for a freelancer with experience in Tensorflow audio classification to develop a noise detection model using environmental sounds.
Skills and Experience Required:
- Strong knowledge of Tensorflow and audio classification techniques
- Experience in developing specific models for audio classification
- Familiarity with environmental sound datasets and preprocessing techniques
- Ability to fine-tune and optimize models for noise detection
- Understanding of different noise types and their characteristics
Project Details:
- The project involves developing a noise detection model using Tensorflow for classifying environmental sounds.
- The primary purpose of this classification model is to accurately detect and classify different types of noise in audio files.
- The freelancer should have a specific model in mind for the classification task and should be able to implement it using Tensorflow.
- The model should be trained on a suitable environmental sound dataset and optimized for noise detection.
- The freelancer should also be able to fine-tune the model and improve its performance using techniques like data augmentation and transfer learning.
- The freelancer should collect necessary dataset and audio clips.
- The model will be deployed outdoors. Ambient noises need to be considered during training.
Deliverables:
- A fully functional Tensorflow audio classification model capable of accurately detecting and classifying different types of noise in audio files.
- Documentation and instructions on how to use and deploy the model.
- We'll need to run the model on a raspberrypi, hence tflite will be used. However for development it is not needed right away.
Please apply only If you have experience with Tensorflow and audio classification. More specifications regarding the project will be provided upon discussion.
I am looking for a freelancer with experience in Tensorflow audio classification to develop a noise detection model using environmental sounds.
Skills and Experience Required:
- Strong knowledge of Tensorflow and audio classification techniques
- Experience in developing specific models for audio classification
- Familiarity with environmental sound datasets and preprocessing techniques
- Ability to fine-tune and optimize models for noise detection
- Understanding of different noise types and their characteristics
Project Details:
- The project involves developing a noise detection model using Tensorflow for classifying environmental sounds.
- The primary purpose of this classification model is to accurately detect and classify different types of noise in audio files.
- The freelancer should have a specific model in mind for the classification task and should be able to implement it using Tensorflow.
- The model should be trained on a suitable environmental sound dataset and optimized for noise detection.
- The freelancer should also be able to fine-tune the model and improve its performance using techniques like data augmentation and transfer learning.
- The freelancer should collect necessary dataset and audio clips.
- The model will be deployed outdoors. Ambient noises need to be considered during training.
Deliverables:
- A fully functional Tensorflow audio classification model capable of accurately detecting and classifying different types of noise in audio files.
- Documentation and instructions on how to use and deploy the model.
- We'll need to run the model on a raspberrypi, hence tflite will be used. However for development it is not needed right away.
Please apply only If you have experience with Tensorflow and audio classification. More specifications regarding the project will be provided upon discussion.