Praat Acoustic Analysis Automation

@AwaisChaudhry

Hi there, I understand you want an automated Praat workflow that processes your pre-trimmed TextGrid files across three sessions (pre-training, post-training, and dedicated voice work), producing per-file tidy CSVs with mean, median, and standard deviation for pitch, formants, and intensity. I’ll map the three-session data to show clear comparisons and differences across sessions, and present a concise analysis along with visualizations. The approach will be: (1) run the existing script pipeline consistently on all files, (2) compute the requested statistics for each feature, (3) generate a comparative table and a session-difference summary, and (4) deliver an exportable CSV per file plus a high-level report and visuals. What exact feature extraction parameters and statistical tests do you want for comparing sessions? Technical questions I have to tune the work: What are the exact feature extraction parameters you want (pitch range, formant tracking method, analysis window, and normalization for formants)? Do you need the CSVs to include confidence intervals or p-values for session differences, and which statistical tests should be used for pairwise comparisons? Should the output include per-file plots (pitch/formant/intensity) by session, and is there a preferred file naming convention for the CSVs and plots? What is the preferred delivery format and folder structure for the results (e.g., separate folders for CSVs and plots, combined report, or an all-in-one bundle)?

@Hadiibaba

Hi Sir, Thank you for sharing the project details—everything is clear. I will run your Praat script across all three sessions and generate structured, comma-separated tables for each file, including mean, median, and standard deviation for pitch, formants, and intensity. Following the extraction, I will conduct a comparative analysis to highlight and interpret the differences across the sessions. Please let me know if you have any preferred format for the final report or specific metrics you would like emphasized. Best regards, Muhammad.H

@HiraMahmood4072

Hello, With over 7 years of experience in Data Processing, Data Visualization, Statistical Analysis, Data Extraction, and Data Management, I am well-equipped to handle your Praat Acoustic Analysis Automation project efficiently. I have carefully reviewed your project requirements regarding automating the extraction of pitch, formants, and intensity measurements from your wav files using Praat script. I understand the need to generate clear comparisons across the three sessions and to save the data in a structured format with essential statistics like mean, median, and standard deviation for the acoustic features. To achieve this, I propose to create a custom script that will iterate through each file, extract the required measurements, and generate the desired comparison tables for easy analysis. Additionally, I will ensure that the script provides a comprehensive exploration of the differences between the sessions, allowing for a detailed understanding of the acoustic changes over time. I would be happy to discuss the project further in chat to address any specific requirements or preferences you may have. Please feel free to connect with me for a detailed discussion. You can visit my profile for more information: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@DedicatedVA

Clearly understood your requirement. We can execute your existing script to extract acoustic features, including fundamental frequency (F0), formant frequencies (F1–F3), and intensity contours, for every file across your three sessions. For each file, we will generate structured CSV outputs containing descriptive statistics—mean, median, and standard deviation—for all extracted features, ensuring the dataset is normalized, clean, and ready for statistical analysis. Following feature extraction, we will conduct a comparative analysis using session-level aggregation, highlighting temporal and spectral changes in voice characteristics across pre-training, post-training, and dedicated voice work. Can you share any preferred metrics, normalization approaches, or statistical comparisons you want prioritized so we can optimize the feature tables and session analyses accordingly?

@ZohaibRoy

⭐⭐⭐⭐⭐ Extract Acoustic Features from Your Praat Files Efficiently ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for help with analyzing your Praat files. You don’t need to look any further; Zohaib is here to assist you! My team has successfully completed over 50 similar projects in acoustic analysis. I will run your Praat script to extract pitch, formants, and intensity measurements, ensuring a clear comparison across all sessions while delivering a tidy, comma-separated table with the statistics you need. ➡️ Why Me? I can easily handle your acoustic analysis project as I have 5 years of experience in data analysis, scripting, and acoustic feature extraction. My expertise includes statistical analysis, data visualization, and using Praat for audio analysis. I also have a strong grip on Python and data manipulation tools, ensuring a seamless process for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Acoustic Analysis ✅ Praat Scripting ✅ Data Extraction ✅ Statistical Analysis ✅ Data Visualization ✅ Python Programming ✅ CSV File Handling ✅ Audio Processing ✅ Mean, Median, Standard Deviation ✅ Formant Analysis ✅ Audio Feature Extraction ✅ Session Comparison Waiting for your response! Best Regards, Zohaib

@saba106

I am an expert statistician, Research Writer, and data analyst with more than eight years of experience. I have full command of Excel analysis, SPSS, STATA, R LANGUAGE, AND PYTHON. I am an expert in creating time series prediction models, working with survey data, conducting marketing analysis, building estimators, and medical analysis. I am a perfect match for your project share other details of the work so I can start working on your project. Will complete task on time.

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Praat Acoustic Analysis Automation I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statistical programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@jepita200

Hello there,, I have advanced experience in Data Mining, Statistics, Statistical Analysis and Data Science. With my vast background in data analysis and management, I am confident in my ability to handle your categorical data project effectively and efficiently. I have extensive experience in collecting, cleaning, analyzing, and visualizing data using Python programming, an invaluable asset for a project of this nature. Additionally, I am well-versed with CRISP-DM framework and adept at identifying patterns within datasets Choosing me means benefitting from not only my expertise but also my personal approach to projects. I understand that each task is unique, requiring tailored skills, and so I'm willing to go the extra mile to provide you with results that meet and exceed your expectations. Let's join forces in this project as our combined strengths will surely produce a result that's efficient, elegant and insightful! Let's not waste any more time! Together, we can mine this data efficiently and answer the questions to achieve your goals. Best Regards, Thanks

@Feriver

Hello, I have extensive experience automating acoustic analysis using Praat and scripting to process large sets of WAV/TextGrid files. I can adapt your existing script to batch-process all sessions, extract pitch, formants, and intensity, and save tidy CSV tables with mean, median, and standard deviation for each feature. I can also generate a clear statistical comparison across sessions, including visualizations and summary tables to highlight pre-training vs post-training differences, ensuring reproducible and organized results. My approach emphasizes accuracy, efficiency, and automation so no manual intervention is needed once set up. I propose handling this end-to-end, providing both the updated Praat script and analyzed output for all three sessions. Thanks, Asif

@SkillCrafts

Your project is a perfect fit for my extensive experience in phonetic automation and custom Praat scripting. Having managed numerous large-scale acoustic datasets where precise extraction from pre-labeled TextGrid tiers was the primary objective, I understand exactly how to maintain data integrity across complex session folders. I recently optimized a similar workflow that batched thousands of phonetic tokens, ensuring every interval label was mapped accurately to the resulting CSV output while maintaining high script efficiency for rapid processing. To automate your analysis, I will develop a robust script that programmatically iterates through your directory structure, pairing each .wav file with its corresponding .TextGrid. I’ll implement automated extraction protocols for your required parameters—whether that involves F0 trajectories, formant tracking at midpoints or multi-point temporal steps, or spectral measures for consonantal analysis—while incorporating automated error-trapping to flag tracking anomalies. The script will output a clean, long-format data file, ensuring all manual tier labels, session IDs, and metadata are preserved in a structure ready for immediate import into R or SPSS. Are you primarily looking to capture vowel formants and pitch contours, or do you also require spectral measures like center of gravity and skewness for obstruent analysis? Additionally, do you prefer the script to run natively within the Praat GUI, or would a Python implementation using Parselmouth better integrate with your research environment? I am available to discuss these technical details over chat or a quick call to ensure the logic matches your exact measurement protocols—let’s connect to finalize the requirements and get started.

@Muhammadzeesha59

With my extensive background in data processing and visualization, I'm confident I can efficiently tackle your Praat acoustic analysis automation project. Having worked as a Full Stack Developer for over 6 years, both internationally and in my offices in Pakistan and the United Kingdom, I've acquired a versatile skill set that covers Java, C++, Python, J2EE, Machine Learning, Data Processing, and Deep Learning – all of which directly apply to your task. I can not only open your WAV files using Praat scripts but also effortlessly extract pitch, formants, and intensity measurements. Furthermore, I'm well-versed in generating statistical summaries including means, medians, and standard deviations of acoustic features into tidy, comma-separated tables - just as you require. Additionally, my experience extends to comparative analysis where I can skillfully explore differences between sessions. By choosing me for this project, you're partnering with someone who not only delivers high quality work within reasonable budgets but is also dedicated to ensuring your project's success by employing unmatched technical prowess and unmatched diligence to meeting client needs. Let's automate your acoustic analysis to save time and mental energy for more meaningful work!

@jesica46

Hello, I hope you’re having a great day. I reviewed your project and I would be happy to assist you with your Data Analysis needs. As a professional data analyst, my goal is to transform raw data into clear and meaningful insights that help clients understand their data and make better, data-driven decisions. I can help you clean and organize raw or unstructured data, perform accurate and detailed analysis, identify trends and patterns, and create professional charts, graphs, and dashboards. I will also provide a clear, well-structured report with actionable insights so that the results are easy to understand and useful for decision-making. I have experience working with tools such as Microsoft Excel, Google Sheets, Python, and Power BI, which allow me to analyze data efficiently and present the results in a professional and easy-to-understand format. I always focus on delivering high-quality and accurate work, maintaining clear communication with clients, ensuring fast and on-time delivery, and providing complete client satisfaction. I would love to learn more about your project. Could you please share the dataset and let me know what type of analysis or insights you are looking for? Once I review the details, I can start working immediately and deliver the results as quickly and accurately as possible. Thank you for your time and consideration. I look forward to working with you. Best regards,

@Zawiya3

With my extensive background in data science, including data analysis, management, and visualization, I am well-equipped to handle your Praat acoustic analysis automation project. My experience with Python makes me highly adept at automating tasks and processing large datasets efficiently, which aligns directly with your need for extracting acoustic features from your Wav files and generating meaningful comparisons between sessions. In addition to my technical skills, I bring a strong understanding of speech and sound processing, owing to my exposure to machine learning and deep learning solutions in my career as a data scientist. This understanding will prove vital in ensuring that not only do we extract pitch, formants, and intensity measurements accurately but also that the generated table is clean and easy-to-understand for you. Lastly, I pride myself on my capability to deliver timely results without compromising quality. For your project, I commit to providing precise measurements including the mean, median and standard deviation for each acoustic feature necessary while also investigating the differences between sessions thoroughly. Let's collaborate to automate your Praat analysis proficiently!

@SomeeLee25

Hello, I have experience in Python for data processing and automation, including statistical analysis and structured reporting. I can adapt your Praat script to automatically extract pitch, formants, and intensity from your prepared TextGrid sessions, and generate tidy CSV tables with mean, median, and standard deviation values. Beyond extraction, I will provide a clear comparative analysis across the three sessions, ensuring the results are easy to interpret and ready for further visualization. I propose a rate of £450 GBP, with delivery within 7–10 days. Best regards, Somee

@craigd43

With over five years of experience in data analysis and management, I am the ideal candidate to automate your Praat Acoustic Analysis project. Having worked extensively with audio data processing using PHP and C#, I possess a nuanced understanding of the domain and can ensure accurate extraction of pitch, formants, and intensity measurements from your WAV files. Additionally, I have successfully implemented scripts to generate insightful comparative analysis, which aligns perfectly with your requirement of exploring session-wise differences - a testament to my competence in data analysis. As a meticulous problem solver who excels at multitasking and has an eye for robust automation solutions, I'm confident that I can not only complete your immediate project but also add value to other areas of your work. Choosing me will not only guarantee timely delivery but will also provide you with an optimally functional automated system capable of handling large-scale acoustic analysis with ease.

@manishSuryaR

Hello, I have thoroughly reviewed your project requirements, and I believe my expertise in data processing, scripting, and statistical analysis aligns perfectly with your needs. With a strong background in handling audio data and working with Praat scripts, I can help automate the extraction of pitch, formants, and intensity measurements from your WAV files. I will modify the Praat script to ensure it processes each file, extracts the necessary features, and saves a tidy, comma-separated table that includes mean, median, and standard deviation for each acoustic feature. Additionally, I will perform an analysis to explore the differences between the three sessions (pre-training, post-training, and dedicated voice work), providing a clear comparison of the acoustic features. Timeline: I estimate 2 weeks for completing the script modification, data extraction, and analysis. Budget: £450 GBP. I am committed to delivering accurate, clean results and will provide updates throughout the project. Let's make your project a success. Thanks, Manish

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in Scripting, Data Visualization, Statistical Analysis, Data Management, Data Analysis, Data Processing, Data Extraction, Audio Processing and Virtual Assistant. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Haseeb,

@tarast7

Hello, How are you? I have checked your job description and I’m confident I can complete exactly what you need. I have extensive experience in data management, data analysis, scripting, statistical analysis, virtual assistant tasks, audio processing, data visualization, and data extraction. This project aligns perfectly with my skills and expertise. I propose creating a Praat script to automate the acoustic analysis of your wav files. The script will extract pitch, formants, and intensity measurements from each file and generate a comparison across the three sessions. For each file, it will save a tidy, comma-separated table with the mean, median, and standard-deviation of the acoustic features. Additionally, I will conduct an analysis to explore the differences between the sessions. Please send me a message so we can discuss further. Thanks, Taras

@bhartimalu

Hello, I can automate Praat acoustic analysis with scripts that process your audio files, extract measurements, and generate structured results reliably and efficiently. Regards, Bharti