Package: pladdrr 5.0.5

Introduction | Formant Extraction Methods | Available Methods | Method Comparison | 1. Burg's Method (Standard) | When to Use Burg | 2. Keep All Method | When to Use Keep All | Keep All vs. Burg Example | 3. Alternative Methods (Advanced) | Choosing Formant Ceiling | Speaker-Specific Ceilings | Guidelines | Parameter Tuning | Window Length | Time Step | Number of Formants | Troubleshooting Formant Detection | Problem: No Formants Detected | Problem: Formants Jump Erratically | Problem: F3 Detected as F2 | Vowel Space Analysis | Extracting F1-F2 for Vowel Plot | Formant Tracking Over Time | Advanced: Formant from Excitation | Best Practices Summary | General Recommendations | Quality Checks | Session Info

Introduction | Key Concepts | Cochleagram Analysis | Creating a Cochleagram | Understanding the Bark Scale | Querying Cochleagram Values | Visualizing Cochleagrams | Advanced: Ear-Drum-Brain Model | Excitation Patterns | Creating Excitation from Spectrum | Creating Excitation from Cochleagram | Perceptual Distance | Clinical Applications | Hearing Loss Simulation | Speech Intelligibility Prediction | Loudness Recruitment Assessment | Formant Extraction from Excitation | Best Practices | Choosing Parameters | Performance Considerations | Memory Management | Comparison with Traditional Analysis | Further Reading | Session Info

Overview | Basic Usage: Single Object Plots | Sound Waveform | Pitch Contour | Spectrogram | Spectrum | Intensity | Formants | Pitch Tier | Formant Grid and Formant Tier Styles | Cepstral Analysis | Composing Multi-Layer Plots | Spectrogram with Pitch Overlay | Spectrogram with Formant Tracks | Spectrogram with Pitch and Formants | Sound with Pitch Overlay | Customization with ggplot2 | Custom Themes | Custom Colors | Faceting by Time Windows | Statistical and Alignment Tools | PCA: Scree, Scores, and Combined Plots | DTW Warping Path | Parameter Reference | Common Parameters | Spectrogram Parameters | Formant Parameters | Pitch autolayer Parameters | Comparison with plot() Methods | Saving Plots | Summary

Introduction | Installation | Creating and Loading Sounds | Generate Test Sounds | Load Audio Files | Basic Sound Properties | Sound Statistics | Pitch Analysis | Pitch Parameters | Querying Pitch Values | Formant Analysis | Speaker-Specific Settings | Querying Formant Values | Intensity Analysis | Intensity Statistics | Intensity at Specific Time | Working with Data Frames | Visualization | Complete Workflow Example | Comparing with Praat Scripts | Praat Script | pladdrr Equivalent | Advanced Topics | Custom Analysis Parameters | Handling NA Values | Package Information | See Also | Conclusion

Overview | Background | TextGrid Annotation | The Phonetic Analysis Pipeline | Part 1: Loading and Creating Data | Creating Synthetic Audio | Creating a TextGrid | Plotting the TextGrid | Part 2: TextGrid Queries | Exploring Tier Structure | Extracting Interval Information | Part 3: Sound Manipulation | Extracting Audio Segments | Resampling | Intensity Normalization | Pre-emphasis Filtering | Part 4: Acoustic Analysis | Fundamental Frequency (F0) Extraction | Formant Analysis | Intensity | Voice Quality (HNR) | Part 5: Batch Processing | Part 6: Data Export and Visualization | Export to CSV | Visualization | Real-World Applications | 1. Sociolinguistic Research | 2. L2 Acquisition Studies | 3. Clinical Voice Assessment | Best Practices | 1. Pre-emphasis for Formants | 2. Appropriate Analysis Parameters | 3. Handle Missing Values | 4. Efficient Batch Processing | Summary | References

Introduction | Key Differences | Architecture | Syntax Comparison | Common Operations | Loading Sound Files | Pitch Extraction | Formant Analysis | Intensity Measurements | Spectral Analysis | Batch Processing | Parselmouth Approach | pladdrr Approach | Working with Data Frames | Extracting Time Series Data | Visualization | Parselmouth with matplotlib | pladdrr with ggplot2 | Advanced Workflows | Voice Analysis Pipeline | Integration with Data Science Tools | Parselmouth + pandas/numpy | pladdrr + tidyverse | Advantages of pladdrr | When to Use Each | Use Parselmouth if: | Use pladdrr if: | Common Issues and Solutions | Issue 1: String-based commands | Issue 2: Positional parameters | Issue 3: Documentation | Getting Help | Conclusion

Introduction | Key Principles | 1. Object Creation | 2. Method Calls | 3. Parameters | Common Workflows | Basic Pitch Analysis | Formant Extraction | Intensity Measurements | Spectral Analysis | TextGrid Manipulation | Batch Processing | Praat Script Approach | pladdrr Approach | Advanced Features in pladdrr | Integration with tidyverse | Visualization with ggplot2 | Advantages Over Praat Scripts | Common Pitfalls | 1. Object Lifetime | 2. Time Ranges | 3. Unit Strings | Getting Help | Conclusion

Introduction | What is SIMD? | Example: Adding Two Vectors | SIMD in pladdrr | Automatic Detection | What you actually get | Measuring the effect on your hardware | What Operations Use SIMD? | Phase 1: Matrix and Data Operations | Phase 2: Intensity Analysis | Phase 3: Correlation and Windowing | Phase 4: FFT and Formant Extraction | Benchmarking Your Own Workloads | FFT Performance | Formant Extraction Performance | Cochleagram Performance | Optimization Tips | 1. Use Appropriate Sample Rates | 2. Optimize Time Steps | 3. Process Multiple Files Together | 4. Reuse Objects When Possible | 5. FFT Sizes | Platform Notes | Apple Silicon (M1/M2/M3) | Intel/AMD (x86_64) | Server CPUs with AVX-512 | Older CPUs | Profiling Your Workloads | Basic Timing | Detailed Profiling | Benchmarking Multiple Methods | SIMD Accuracy | Fallback Behavior | Compilation Notes | Installing from Source | Binary Packages | Troubleshooting | SIMD Not Detected | Not Sure Where Time Is Going? | Summary | Advanced Performance APIs | Batch Statistics API | Fast CPPS API | Adaptive Pitch Range (for VUV analysis) | XPtr Window Functions (RcppXPtrUtils) | When to Use Advanced APIs | Further Reading | Session Info

Introduction | Why Use FormantPath? | The Ceiling Frequency Problem | Standard vs FormantPath Comparison | Basic Usage | Creating a FormantPath | Interpreting num_steps_up_down | Querying FormantPath | Inspecting Candidates | Stress Values (Quality Metric) | Extracting the Optimal Formant | Automatic Extraction | Manual Path Selection | Visualizing FormantPath Results | Comparing All Candidates | Optimal Path vs Standard | Advanced Path Finding | Viterbi-Style Path Optimization | Use Cases | 1. Unknown Speaker Demographics | 2. Noisy or Difficult Audio | 3. Segment-Specific Analysis | 4. Batch Processing Multiple Files | Performance Considerations | Memory Usage | Computation Cost | Best Practices | DO | DON'T | Comparison with Other Tools | pladdrr FormantPath vs Praat | vs Parselmouth | Troubleshooting | Issue: All candidates look similar | Issue: Extracted formant has gaps (NA values) | Issue: FormantPath is too slow | Summary | Further Reading | Session Info

Introduction | Why Speech Synthesis? | Research Applications | The Klatt Synthesizer | Basic Usage | Recommended: Pre-configured Vowels | Save to File | Avoid Empty Grids | Vowel Synthesis | The Vowel Triangle | Formant Values for Common Vowels | Voice Types | Pitch Contours | Dynamic Intonation | Common Pitch Patterns | Formant Transitions | Diphthongs | Vowel Continuum | Visualizing Synthesis | Spectrogram of Synthetic Vowel | Comparing Real vs Synthetic | Advanced Features | Voice Quality Control | Complex Synthesis Example | Analysis -> Synthesis Workflow | Complete Pipeline | Use Cases | 1. Perceptual Experiments | 2. Voice Morphing | 3. Teaching Phonetics | Known Limitations | 1. Empty Grid Errors on Synthesis | 2. Limited Tier Manipulation | 3. Formant Constraints | Best Practices | Do | Don't | Troubleshooting | Error on to_sound() | Unnatural sounding synthesis | No sound output | Comparison with Other Tools | pladdrr vs Praat GUI | vs Parselmouth | vs Other R Synthesis | Summary | Further Reading | Session Info

Overview | Background | TextGrid Structure | Common Workflows | Part 1: Creating TextGrids | Creating from Scratch | Adding Interval Boundaries | Adding Point Annotations | Loading from File | Part 2: Querying TextGrids | Tier Information | Extracting Interval Information | Time-Based Queries | Point Tier Queries | Part 3: Modifying TextGrids | Inserting and Removing Boundaries | Relabeling | Adding and Removing Tiers | Duplicating Tiers | Part 4: Large-Scale Corpus Analysis | Loading Large TextGrids | Efficient Data Extraction | Sampling Large Datasets | Batch Processing Multiple Files | Part 5: Integration with Forced Alignment | Montreal Forced Aligner (MFA) Output | Quality Control for Forced Alignment | Part 6: Data Export and Visualization | Export to CSV | Save Modified TextGrid | Visualization | Best Practices | 1. Consistent Labeling | 2. Handle Empty Intervals | 3. Time Precision | 4. Backup Before Editing | Real-World Applications | 1. Prosodic Analysis | 2. Voice Onset Time (VOT) Measurement | 3. Automated Tier Creation | Summary | References

Introduction | Cepstral Analysis Visualization | Power Cepstrum | Power Cepstrogram | CPP Time Series | Comprehensive Cepstrum Report | Formant Visualization | F1-F2 Formant Space | Formant Trajectories | Pitch and Intensity Visualization | Pitch Contour | Intensity Contour | Combined Pitch and Intensity | TextGrid Visualization | Annotation Tier Display | Duration Analysis | Spectral Visualization | Spectrogram | Spectrum | Long-Term Average Spectrum (LTAS) | Customization and Theming | Custom Color Schemes | Publication Themes | Multi-Panel Figures | Saving Plots | High-Resolution Output | Batch Saving | Summary

Overview | Background | Vowel Acoustics | The F1-F2 Vowel Space | Formant Normalization | Part 1: Data Preparation | Loading Audio and Annotations | Part 2: Formant Extraction | Choosing Analysis Parameters | Pre-emphasis | Extract Formants | Part 3: Multi-Point Measurements | Part 4: Formant Normalization | Lobanov Z-Score Method | Part 5: Vowel Space Statistics | Descriptive Statistics by Vowel | Vowel Space Area | Part 6: Trajectory Analysis | Detect Diphthongization | Part 7: Visualization | Basic F1-F2 Vowel Plot | Advanced Plotting with ggplot2 | Faceted by Speaker or Condition | Part 8: Statistical Analysis | ANOVA: Vowel Differences | Mixed-Effects Models | Real-World Applications | 1. Sociolinguistic Variation | 2. L2 Acquisition | 3. Speech Clarity Assessment | Best Practices | 1. Parameter Selection | 2. Quality Control | 3. Normalization Choice | 4. Missing Data | Summary | References

pladdrr Performance Optimization Guide | The Three Performance Tiers | When do the tiers actually matter? | Tier 1: High-Level API (Best for Most Users) | Tier 2: Direct API | Fewer R→C boundary crossings | Available Direct Functions | Tier 3: Batch & Parallel API | Batch Operations | Vectorized Queries | Parallel Processing | Tier Comparison Examples | Example 1: Single File Analysis | Example 2: Batch Processing | Example 3: Formant Tracking Over Time | Decision Tree: Which Tier Should I Use? | Best Practices | 1. Start with Tier 1, Optimize Later | 2. Batch Similar Operations | 3. Reuse Pointers in Loops | 4. Choose a Core Count That Fits Your Workload | 5. Combine Batch and Parallel Processing | Troubleshooting | Parallel Processing Issues | Runtime Not Improving? | Summary Table | Further Reading

Introduction | Standalone Expression Evaluation | Numeric Expressions | String Expressions | Vector Expressions | Matrix Expressions | String Array Expressions | Persistent Interpreter with State | Creating an Interpreter | Setting Variables | Getting Variables | Using Variables in Expressions | Vector and Matrix Operations | Praat Variable Type Reference | Object Management | Practical Example: Statistical Calculations | Performance Considerations | Best Practices | Summary | See Also

Introduction | Why Analysis-Resynthesis? | The Perceptual Loop | Applications | Workflow 1: Basic Analysis → Synthesis | Step 1: Load and Analyze Audio | Step 2: Extract Mean Formant Values | Step 3: Resynthesize with KlattGrid | Step 4: Compare Original vs Resynthesized | Workflow 2: Vowel Round-Trip Validation | Create Synthetic Vowel with Known Parameters | Analyze Synthetic Vowel | Visualize Round-Trip | Workflow 3: Vowel Space Mapping | Synthesize Vowel Triangle | Analyze Vowel Triangle | Plot Vowel Space | Verify Vowel Space Relationships | Advanced: Voice Morphing | Morph Between Two Speakers | Visualize Morph Continuum | Use Cases | 1. Formant Manipulation Experiments | 2. Pitch-Formant Decoupling | 3. Quality Assessment | Best Practices | DO | DON'T | Troubleshooting | Poor Resynthesis Quality | High Round-Trip Error | Segfault During Synthesis | Performance Notes | Memory Usage | Summary | Further Reading | Session Info