Machine Learning & AI agent for Voice Data Analysis

• What is voice data?
• Difference between audio
• speech
• voice
• and transcript
• Real-world applications of voice AI
• Call center analytics
• Meeting summarization
• Voice assistants
• Healthcare voice analysis
• Customer sentiment analysis
• What is an AI agent?
• Difference between chatbot
• voice bot
• and AI agent
• Full course project roadmap

নেবেন: Md Manuaruzzaman

• Python environment setup
• Working with audio files
• Loading and saving audio
• Audio visualization
• Waveform analysis
• Spectrogram basics
• Noise
• silence
• and speech segments
• Audio trimming and splitting

নেবেন: Md Manuaruzzaman

• Sound waves and frequency
• Amplitude
• pitch
• energy
• Time-domain vs frequency-domain analysis
• Fourier Transform concept
• Spectrogram
• Mel spectrogram
• MFCC features
• Voice Activity Detection
• Noise reduction basics

নেবেন: Md Manuaruzzaman

• Audio classification workflow
• Feature extraction for ML
• Dataset preparation
• Train-test split
• Label encoding
• Classical ML models: Logistic Regression - Random Forest - SVM – XGBoost
• Evaluation metrics: Accuracy - Precision - Recall

নেবেন: Md Manuaruzzaman

• Why deep learning for audio?
• CNN for spectrogram classification
• RNN/LSTM for sequence audio data
• Transformer-based audio models
• Transfer learning for audio
• Audio data augmentation
• Overfitting and regularization
• Model evaluation

নেবেন: Md Manuaruzzaman

• What is ASR?
• Speech-to-text pipeline
• Whisper-style ASR models
• API-based transcription
• Open-source ASR vs paid ASR API
• Transcribing short audio
• Transcribing long audio
• Chunking long audio
• Timestamp generation
• Word Error Rate
• Character Error Rate
• Handling noisy audio
• Handling multilingual audio

নেবেন: Md Manuaruzzaman

• What is speaker diarization?
• Speaker diarization vs speaker identification
• Voice Activity Detection
• Speaker segmentation
• Speaker embeddings
• Clustering speakers
• “Who spoke when” analysis
• Combining diarization with ASR
• Diarization Error Rate
• Speaker-wise transcript generation

নেবেন: Md Manuaruzzaman

• Cleaning transcript text
• Text preprocessing
• Keyword extraction
• Topic detection
• Intent detection
• Sentiment analysis
• Emotion analysis from text
• Summarization
• Action item extraction
• Question-answering over transcripts
• LLM prompting for transcript analysis
• Structured output generation

নেবেন: Md Manuaruzzaman

• What is RAG?
• Why RAG is useful for voice data
• Transcript chunking
• Embeddings
• Vector database
• Semantic search
• Question-answering over voice transcripts
• Meeting memory system
• Customer support knowledge base
• Evaluation of RAG systems
• Hallucination reduction

নেবেন: Md Manuaruzzaman

• What is an AI agent?
• Agent components: LLM - Tools - Memory - Planning - Action execution - Guardrails
• Voice agent architecture
• Tool calling
• Multi-step reasoning
• Agent memory
• Agent for transcript analysis
• Agent for customer support call review
• Agent for meeting assistant
• Human-in-the-loop workflow

নেবেন: Md Manuaruzzaman

• Real-time voice input
• Speech-to-text streaming concept
• Voice Activity Detection
• LLM response generation
• Text-to-speech
• Latency optimization
• Interrupt handling
• Conversation state
• Voice bot flow design
• Safety and fallback response
• Real-time customer support voice assistant

নেবেন: Md Manuaruzzaman

• Building a complete application
• FastAPI backend
• Streamlit or Gradio frontend
• Database integration
• File upload system
• API integration
• Model deployment
• Logging and monitoring
• Cost estimation
• Data privacy
• Consent in voice data collection
• Bias in speech models
• Multilingual and accent challenges
• Final project preparation

নেবেন: Md Manuaruzzaman