Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
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Updated
Jul 14, 2021 - Python
Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
Timestamped ASR microservice
Transform audio recordings into text transcripts effortlessly with AudioTranscribe! 🎙️📝 Simplify your transcription process and enhance accessibility with top-notch accuracy. Explore the power of text-to-speech conversion today! 🚀🎧
Event-driven AI > A Python-Kafka event-driven micro-services solution for distributed audio transcriptions.
Web app for transcribing audio file (.wav format) to text usingGoogle Cloud Speech API.
Transcribe Bangla Audio into Text
An efficient desktop application for transcribing audio files into text using Vosk speech recognition.
📼 A streamlit web interface designed to extract words from video/audio files into text • Python, FFmpeg, Whisper, YT-DLP
A Windows desktop application that can generate subtitles, translations, and summaries for videos in 8 languages using API and SDK from Tencent, Alibaba, and Baidu. You can use it for generating bilingual transcripts for videos and summarising the key points from the transcript using LexRank.
Open-source AI library (audio to text, simple NLP and algorithms)
Scalable Machine Learning and Deep Learning, Lab2, 2023
AWS Lambda Function which creates a transcribe job, that reads mp3 file and converts it into text format in a json file.
A SwiftUI App For People Who Need To Take Down Important Information Quickly.
Edge AI > AI app to easily perform transcriptions on regular computers. Quality on par with on-cloud alternatives. Lower costs. Reduced privacy risks.
Whisper Large V3 is a pre-trained model developed by OpenAI and designed for tasks like automatic speech recognition (ASR), speech translation and language identification.
core shell functions building blocks for advanced AI pipelines
AudioTextPro: Convert audio to text accurately in real-time using our advanced AI speech recognition technology.
There is simple backend project to use whisper-rs.
inter-convert between audio & text, easy to use with GUI desktop application by PaddleSpeech and PySide6.
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