Automatic Speech Recognition in 4 Lines of Python code with HuggingFace

AssemblyAI · Beginner ·🧠 Large Language Models ·4y ago

Key Takeaways

Automatic speech recognition using HuggingFace Transformers Library in Python, utilizing a pre-trained model from the Hugging Face Model Hub to transcribe audio recordings offline.

Full Transcript

learn how you can do speech recognition in only four lines of python code and no this is not by using an api or something this will be an actual deep learning model that will run offline on your machine first let's create a quick audio recording my name is patrick this is a test one two three and now the magic can happen with the hugging face transformers library so we say from transformers import pipeline then we set up a automatic speech recognition pipeline this will download a pre-trained model from the hacking face model hub then we call this pipeline and this can take the file that we just created directly as an input and then lastly we print the result and that's all we need to do so let's run the code and look at the result and here's the result so this is the text my name is patrick this is a test one two three so pretty accurate

Original Description

Learn how to do automatic speech recognition with the HuggingFace Transformers Library in only 4 lines of Python code! Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_25 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #Python #DeepLearning #MachineLearning
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Learn how to perform automatic speech recognition in 4 lines of Python code using the HuggingFace Transformers Library. This method utilizes a pre-trained model to transcribe audio recordings offline, eliminating the need for APIs. The result is a highly accurate text transcription of the audio input.

Key Takeaways
  1. Create an audio recording
  2. Import the Transformers Library
  3. Set up an automatic speech recognition pipeline
  4. Call the pipeline with the audio file as input
  5. Print the transcription result
💡 The HuggingFace Transformers Library provides an easy-to-use interface for automatic speech recognition, allowing users to leverage pre-trained models for accurate offline transcription.

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