You will get Custom AI Music & Audio Generation | TTS, ASR & MusicGen
Top Rated
Project details
You will get a production-grade AI music and audio generation system: structured ML pipelines built by engineers who live and breathe music.
With a Ph.D. in Signal Processing and 15+ years in ML, I approach audio AI as an engineering discipline: measurable quality, latency control, scalability, and reproducibility.
Applied domains:
♪ Music tech (AI composition, style-conditioned generation, adaptive soundtracks)
♪ Media & advertising (AI audio branding, automated sound production)
♪ Gaming & XR (dynamic music, NPC voice, real-time audio events)
♪ EdTech & speech therapy (TTS, pronunciation feedback, phoneme analysis)
♪ Voice AI products (ASR pipelines, voice cloning, speaker identification)
Core capabilities:
♪ Music generation: MusicGen, AudioCraft, Stable Audio, SAM Audio, mood conditioning
♪ Speech synthesis: TTS, voice cloning, StyleTTS, Bark, XTTS
♪ Speech recognition: Whisper, NeMo, custom ASR pipelines
♪ Audio processing: source separation, enhancement, classification
♪ Deployment: ONNX, TensorRT, Docker, FastAPI, AWS, GCP
Delivery: trained model, source code, API, evaluation report, and deployment guide.
With a Ph.D. in Signal Processing and 15+ years in ML, I approach audio AI as an engineering discipline: measurable quality, latency control, scalability, and reproducibility.
Applied domains:
♪ Music tech (AI composition, style-conditioned generation, adaptive soundtracks)
♪ Media & advertising (AI audio branding, automated sound production)
♪ Gaming & XR (dynamic music, NPC voice, real-time audio events)
♪ EdTech & speech therapy (TTS, pronunciation feedback, phoneme analysis)
♪ Voice AI products (ASR pipelines, voice cloning, speaker identification)
Core capabilities:
♪ Music generation: MusicGen, AudioCraft, Stable Audio, SAM Audio, mood conditioning
♪ Speech synthesis: TTS, voice cloning, StyleTTS, Bark, XTTS
♪ Speech recognition: Whisper, NeMo, custom ASR pipelines
♪ Audio processing: source separation, enhancement, classification
♪ Deployment: ONNX, TensorRT, Docker, FastAPI, AWS, GCP
Delivery: trained model, source code, API, evaluation report, and deployment guide.
Machine Learning Tools
Amazon SageMaker, Keras, NumPy, NVIDIA AI Platform, Python, PyTorch, SciPy, TensorFlowWhat's included $25,000
These options are included with the project scope.
$25,000
- Delivery Time 35 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 3
- Model Validation/Testing
- Model Documentation
- Source Code
Frequently asked questions
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SF
Samuel F.
May 12, 2026
Computer Vision for Architectural Plans
HT
Hartley T.
Aug 13, 2025
AI-Powered Neurological Assessment Mobile App Development
Great team to work with! Highly recommend.
XP
Xhensila P.
Dec 10, 2024
60 minute consultation
We booked a consultation with Ievgen to conduct a technical analysis of potential approaches to solving a complex problem.
Ievgen was highly professional, asked insightful questions, and took the time to thoroughly understand the issue. He carried out a detailed analysis of all possible solutions and promptly delivered the requirements and analysis right after the call.
He also made himself available for follow-up questions, ensuring clarity even after the consultation ended. Communication was excellent throughout the process.
We highly recommend him!
Ievgen was highly professional, asked insightful questions, and took the time to thoroughly understand the issue. He carried out a detailed analysis of all possible solutions and promptly delivered the requirements and analysis right after the call.
He also made himself available for follow-up questions, ensuring clarity even after the consultation ended. Communication was excellent throughout the process.
We highly recommend him!
GA
Guto A.
Nov 20, 2024
Senior iOS Engineer - Computer Vision and Machine Learning Specialist
DF
Dean F.
Mar 13, 2024
30 minute consultation
Levgen is absolutely incredible and such a smart individual!
About Ievgen
Computer Vision & AI Architect | Deep Learning, Audio AI, Edge ML
100%
Job Success
Lviv, Ukraine - 8:36 am local time
My work focuses on production AI systems, not research prototypes. I help companies move from early feasibility studies and PoC development to scalable deployments running in real environments.
Typical projects include:
• computer vision pipelines for detection, tracking, and segmentation
• real-time video analytics and edge AI deployments
• 3D vision and spatial perception systems
• speech processing and audio AI solutions
• generative AI pipelines for image, video, and audio
Computer Vision Systems
Design and development of advanced computer vision pipelines for image and video analysis.
Typical solutions include:
• object detection and multi-object tracking
• semantic and instance segmentation
• pose estimation and motion analysis
• OCR and document understanding
• visual search and recognition systems
These systems are used in industries such as manufacturing, sports analytics, retail, healthcare, and security.
3D Vision & Spatial AI
Development of AI systems that understand spatial structure and depth.
Experience includes:
• structure-from-motion (SfM)
• photogrammetry pipelines
• depth estimation models
• NeRF and neural rendering
• point cloud processing and 3D reconstruction
Applications include robotics, AR/VR, construction analytics, and digital twins.
Edge AI & On-Device ML
I specialize in deploying ML models on mobile and embedded devices where latency, memory, and power constraints are critical.
Typical optimization techniques include:
• model quantization and pruning
• architecture optimization
• real-time inference pipelines
• deployment on mobile and embedded hardware
Technologies include:
TensorRT, TensorFlow Lite, CoreML, ONNX Runtime.
Many deployed systems operate with 50–100 ms inference latency depending on hardware.
Generative AI for Vision & Video
Development of generative pipelines for media processing and synthetic data generation.
Typical solutions include:
• image and video generation pipelines
• diffusion-based editing and enhancement
• synthetic dataset generation for model training
These tools help accelerate AI training and improve model robustness.
Audio & Speech AI
Development of AI systems for speech processing, audio analysis, and voice technologies.
Examples include:
• phoneme segmentation and pronunciation analysis
• speech recognition pipelines
• voice feature extraction and audio analytics
• generative audio and music models
These systems are used in:
• language learning platforms
• speech therapy tools
• voice biometrics systems
• music AI applications
Technical Stack
Frameworks & Models
PyTorch, TensorFlow, OpenCV, Detectron2, MediaPipe, YOLO, DINO, SAM, CLIP
Deployment
TensorRT, TensorFlow Lite, CoreML, Docker, ONNX Runtime, FastAPI
Programming
Python, C, C++
3D Vision
NeRF, SLAM, Dust3r, point clouds
Leadership & R&D
I lead an R&D-focused AI team at It-Jim, an AI consulting company with 30+ engineers and 10+ PhDs specializing in:
• Computer Vision
• Generative AI
• Audio & Speech AI
• Edge AI systems
We help companies solve technically challenging AI problems and build reliable production systems.
If you are looking for experienced AI engineers to design, prototype, or deploy advanced machine learning solutions: feel free to reach out!
Steps for completing your project
After purchasing the project, send requirements so Ievgen can start the project.
Delivery time starts when Ievgen receives requirements from you.
Ievgen works on your project following the steps below.
Revisions may occur after the delivery date.
Technical Discovery & Scope Definition
We clarify use case, target audio quality, latency constraints, dataset availability, and deployment environment. Define measurable success criteria and PoC boundaries.
Architecture Design & Model Selection
We design the system architecture (generation, conditioning, inference pipeline), select baseline models (e.g., diffusion / transformer-based), and define a training or fine-tuning strategy.