Using Azure's AI Language Service to Summarize and Extract Themes from Interview Transcripts
Imagine you’re a program evaluator or a qualitative researcher tasked with analyzing hundreds of interview transcripts. Each transcript is filled with valuable information, but the sheer volume and time-consuming nature of the task can be overwhelming. You find yourself buried in a sea of words, desperately seeking a way to extract meaningful insights efficiently. In our latest blog post, we dive into the world of program evaluations and qualitative research. Learn how Azure’s AI/ML tools revolutionize transcript analysis, making it faster, more accurate, and less labor-intensiveHow to Convert Audio to .WAV for Speech Service Using MoviePy
Did you know? Azure Speech Service offers robust speech recognition, translation, text-to-speech and many more capabilities, providing developers with powerful tools to integrate voice-based interactions into their applications. In this blog, learn how to convert your audio file to .wav for speech service using MoviePy.Create a Simple Speech REST API with Azure AI Speech Services
Explore the world of Speech recognition and Speech Synthesis with Azure AI Services. In this tutorial, you will learn how to create your own simple Speech REST API using Azure AI Speech Synthesis and Azure OpenAI services or OpenAI API. Experience the power of speech synthesis using Azure and explore the infinite number of possibilities today unveiled to you by Azure AI Services to create powerful products.Transforming Recruitment Processes with AI and Power Platform using Cognitive Search
Pascal Burume, a Microsoft MVP and Gold Microsoft Student Ambassador, brings his unwavering passion for Artificial Intelligence, Power Platform, and data visualization research to optimize recruitment processes. With innovative methods and expertise in Microsoft services and technologies, Pascal aims to streamline HR recruitment using Power BI, Power Apps, Power Automate, and Azure Cognitive Search. Enhancing efficiency and decision-making, his project offers valuable insights, tracks recruitment KPIs, optimizes costs, and provides quick access to HR information. Stay ahead of the competition and attract top talent with Pascal's transformative solutions for modern, data-driven recruitment strategies.
Training and Inference of LLMs with PyTorch Fully Sharded Data Parallel and Better Transformer
In this blog we show how to perform efficient and optimized distributed training and inference of large language models using PyTorch’s Fully Sharded Data Parallel and Better Transformer implementations, on the Spark platform. In this implementation, we combine Microsoft Fabric for data preparation and model inference, and Azure Databricks for model training, having all our data under Microsoft Fabric’s OneLake. The code for this blog is available at this GitHub repository, as a series of PySpark notebooks for Microsoft Fabric and Azure Databricks.Create your own customized translation service with Microsoft Custom Translator
In this blog post, I suggest a couple of best-practices that may be helpful when you want to create a custom translation service, which will be able to take potentially private or sensitive terminology into account during translation.
text-to-speech setup for contribution
Hello there, I would like to have some help in order to contribute tts by increasing its accuracy, in which the following are applicable: Context: non-natively speaking MSc student studying for his final exams. Tts contribution/project: During my rehearsel, I would like to record my voice on a word document, compare it with my exam summary, adjust some wrong conversions and submit it as feedback. Question/help: Well, i would a script/vba command/exe... Something that compares my voice with my summary document. Correspondingly, highlighting (very roughly) the sections that do match with my summary. I.e. where I was wrong. In normal circumstances, I would not ask this but ehm... I tried for 3 days already to code/develop something, without succes. In addition, my exams are within 8 days. Hence, my justification for asking a favor. I look forward hearing from you guys and appreciate the consideration.Azure Cognitive Services Hands-on Workshop resources and insights.
Want to conduct a workshop on Azure Cognitive Services? Here are some insights on the Workshop conducted on ACS. You will also find the links to the resources and guides referred throughout the session and while preparing for the workshop.
Text Annotation made easy with Doccano
Supervised machine learning (ML) models need labeled data, but majority of the data collected in the raw format lacks labels. So, the first step before building a ML model would be to get the raw data labeled by domain experts. To do so, we did a survey of the annotation tools and came across Doccano as an easy tool for collaborative text annotation. The latest version of Doccano supports annotation features for text classification, sequence labeling (NER) and sequence to sequence (machine translation, text summarization).
