amazon-transcribe-output-word-document
SpeechRecognition
| amazon-transcribe-output-word-document | SpeechRecognition | |
|---|---|---|
| 2 | 16 | |
| 44 | 8,051 | |
| - | - | |
| 1.8 | 8.7 | |
| about 2 years ago | 6 days ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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amazon-transcribe-output-word-document
- Transcript to word docs
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AWS - NLP newsletter - 2021. Aug.
Amazon Transcribe Call Analytics Amazon Transcribe Call Analytics is a new machine learning (ML) powered conversation insights API that enables developers to improve customer experience and agent productivity. This API can analyze call recordings to generate turn-by-turn call transcripts and actionable insights for understanding customer-agent interactions, identifying trending issues, and tracking performance metrics. Launch content: AWS News Blog, What's New Post, Webpage, Documentation, GitHub Demo, LinkedIn.
SpeechRecognition
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help with script (beginner)
Start and Stop Listening Example
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MacWhisper: Transcribe audio files on your Mac
There is a great library that has support not only with OpenAIs whisper but many others that also work offline. https://github.com/Uberi/speech_recognition
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Unpopular Opinion: a lot of Obsidian community make Obsidian sound like something cringey/productivity guru-y
This is the library: https://github.com/Uberi/speech_recognition
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Nvim-VoiceRec : Add Speech-To-Text To Neovim! (useful for gpt)
It is python remote plugin that is a tin wrapper around speech_recognition package.
- Speech-to-text software
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Voice commands in Doom Eternal possible?
I am less familiar with speech recognition myself. I have implemented something similar many years ago, back when Google had a REST API that allowed you to upload audio and they would respond with the recognized words/sentence. I think they still have the same API available, though. They limited how much you could send, but for voice commands it was pretty solid. However, SpeechRecognition looks like a library worth trying out for this, as that seems like it could do offline processing depending on the underlying library. They also have some examples to look at.
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Build Simple CLI-Based Voice Assistant with PyAudio, Speech Recognition, pyttsx3 and SerpApi
SpeechRecognition
- Need help with speech recognition
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Wiki for the podcast
I found this one here
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How to use my speaker as input and my mic as output?
https://github.com/Uberi/speech_recognition/blob/master/reference/library-reference.rst this might help. I guess your best bet is to rtfm.
What are some alternatives?
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
pydub - Manipulate audio with a simple and easy high level interface
AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
kalliope - Kalliope is a framework that will help you to create your own personal assistant.
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
amazon-transcribe-post-call-analytics
speech-to-text-websockets-python
speechpy - :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Watson Developer Cloud Python SDK - :snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud