34 skills found · Page 1 of 2
microsoft / SpeechT5Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
facebookresearch / TextlesslibLibrary for Textless Spoken Language Processing
llm-guy / JarvisJarvis is a voice-activated, conversational AI assistant powered by a local LLM (Qwen via Ollama). It listens for a wake word, processes spoken commands using a local language model with LangChain, and responds out loud via TTS. It supports tool-calling for dynamic functions like checking the current time.
kahne / SpeechTransProgressTracking the progress in end-to-end speech translation
shreyasharma04 / HealthChatbot🤖 HealthCare ChatBot Major -1 (4th year - 7th semester) Health Care Chat-Bot is a Healthcare Domain Chatbot to simulate the predictions of a General Physician. ChatBot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. We have made a healthcare based chatbot. The three main areas where chatbots can be used are diagnostics, patient engagement outside medical facilities, and mental health. In our major we are working on diagnostic. 📃 Brief A chatbot is an artificially intelligent creature which can converse with humans. This could be text-based, or a spoken conversation. In our project we will be using Python as it is currently the most popular language for creating an AI chatbot. In the middle of AI chatbot, architecture is the Natural Language Processing (NLP) layer. This project aims to build an user-friendly healthcare chatbot which facilitates the job of a healthcare provider and helps improve their performance by interacting with users in a human-like way. Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as E-commerce customer service, Call centres, Internet gaming,etc. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for. 📜 Problem Statement During the pandemic, it is more important than ever to get your regular check-ups and to continue to take prescription medications. The healthier you are, the more likely you are to recover quickly from an illness. In this time patients or health care workers within their practice, providers are deferring elective and preventive visits, such as annual physicals. For some, it is not possible to consult online. In this case, to avoid false information, our project can be of help. 📇 Features Register Screen. Sign-in Screen. Generates database for user login system. Offers you a GUI Based Chatbot for patients for diagnosing. [A pragmatic Approach for Diagnosis] Reccomends an appropriate doctor to you for the following symptom. 📜 Modules Used Our program uses a number of python modules to work properly: tkinter os webbrowser numpy pandas matplotlib 📃 Algorithm We have used Decision tree for our health care based chat bot. Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome.It usually mimic human thinking ability while making a decision, so it is easy to understand. :suspect: Project Members Anushka Bansal - 500067844 - R164218014 Shreya Sharma - 500068573 - R164218070 Silvi - 500069092 - R164218072 Ishika Agrawal - 500071154 - R164218097
ga642381 / SpeechPrompt**Interspeech 2022** 《SpeechPrompt: An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks》Speech processing with prompting paradigm
jackwuwei / GptspeakerThe ChatGPT/DeepSeek Voice Assistant uses a Raspberry Pi (or desktop) to enable spoken conversation with OpenAI or DeepSeek large language models. This implementation listens to speech, processes the conversation through the OpenAI/DeepSeek service, and responds back. Like Apple Siri, Amazon Alex, Google Nest Home, Mi XiaoAi etc.
google-deepmind / Librispeech LongLibriSpeech-Long is a benchmark dataset for long-form speech generation and processing. Released as part of "Long-Form Speech Generation with Spoken Language Models" (arXiv 2024).
kahne / FastwerA PyPI package for fast word/character error rate (WER/CER) calculation
ReneeYe / ConSTcode for paper "Cross-modal Contrastive Learning for Speech Translation" (NAACL 2022)
koshort / Koshort(deprecated) :cat: koshort is a Python package for Korean internet spoken language crawling and processing... or maybe Korean domestic cat.
gooofy / Py NltoolsA collection of basic python modules for spoken natural language processing
ryota-komatsu / Speaker Disentangled HubertOfficial repository of the IEEE SLT 2024 paper "Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT"
beingamanforever / Tech Enhanced AI Interview Learning PlatformDeveloped a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.
praaline / PraalinePraaline is an open-source system to manage, annotate, visualise and analyse spoken language corpora
Sherry-XLL / Digital Recognition DTW HMM GMM10 digits recognition system based on DTW, HMM and GMM
sknadig / Cs224sCS224S / LINGUIST285 - Spoken Language Processing
ElotlMX / Py ElotlPython package for Natural Language Processing (NLP), focused on low-resource languages spoken in Mexico.
ReneeYe / XSTNetThis is an implementation of paper "End-to-end Speech Translation via Cross-modal Progressive Training" (Interspeech2021)
navierula / Mood Classsoftware that analyzes speech utterances
