#python #deep_learning #inference #openai #quantization #speech_recognition #speech_to_text #transformer #whisper

Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches.

https://github.com/SYSTRAN/faster-whisper

#python #audio #deeplearning #minicpm #python #pytorch #speech #speech_synthesis #text_to_speech #tts #tts_model #voice_cloning

VoxCPM is a free, open-source TTS tool that turns text into realistic speech without tokens, creating expressive audio that matches context and clones voices perfectly from just 3-10 seconds of sample. Download VoxCPM1.5 (800M params) from Hugging Face, install via pip, and use simple Python or CLI commands for fast synthesis (RTF 0.15 on RTX 4090) or fine-tuning your own voices. You benefit by easily making natural audiobooks, podcasts, clones, or apps with pro-quality sound—saving time and costs on voice work.

https://github.com/OpenBMB/VoxCPM

#python #ai #ai_agents #conversational_ai #fastapi #llm #nextjs #open_source #outbound_calls #pipecat #python #self_hosted #speech_to_text #telephony #text_to_speech #voice #voice_agents #voice_ai #voice_assistant #voip #webrtc

Dograh AI is an open-source, self-hostable tool for building voice agents with a drag-and-drop workflow. You can start fast, run it on your own server, use your own LLM, TTS, and STT services, and avoid vendor lock-in. The benefit to you is more control, more privacy, and a working voice bot in minutes without needing API keys.

https://github.com/dograh-hq/dograh

#python #ai_agents #amd #comfyui #docker #llama_cpp #llm #local_ai #n8n #nvidia #open_webui #rag #self_hosted #speech_to_text #strix_halo #text_to_speech #workflow_automation

Dream Server lets you run AI on your own machine instead of renting it from a cloud service. It works on Linux, Windows, and macOS, and it can set up chat, voice, agents, search, image tools, and privacy tools with one command. The main benefit is more control: your data stays with you, costs can be lower, and you can keep using AI even without a cloud account.

https://github.com/Light-Heart-Labs/DreamServer

#typescript #ai_textbook #algorithms #artificial_intelligence #computer_science #computer_vision #deep_learning #jax #linear_algebra #machine_learning #machine_learning_algorithms #math #mathematics #multimodal_learning #nlp #probability #python #reinforcement_learning #speech_processing #statistics

This free, open textbook teaches math, computer science, and AI from the ground up by prioritizing intuition and real-world context over dense formulas, helping you deeply understand concepts instead of just passing exams . You only need basic math and Python to start, as the material connects all topics into a clear, logical flow designed for curious practitioners . The key benefit is that it gives you the quality knowledge needed to master complex AI roles, proven by friends who used these notes to get hired at top companies like DeepMind and OpenAI .

https://github.com/HenryNdubuaku/maths-cs-ai-compendium

#cplusplus #asr #ggml #gguf #speech_to_text

transcribe.cpp is a fast, free C/C++ library that turns speech into text using 16 model families (like Whisper and Parakeet) on your own GPU or CPU, with official supports for Python, JavaScript, Rust, and Swift. You benefit by getting accurate, verified transcriptions without paying cloud API fees, running entirely on your device for privacy, and supporting streaming, batch, and specialized tasks like medical dictation or speaker diarization.

https://github.com/handy-computer/transcribe.cpp

#python #ai #assistant #language_model #machine_learning #python #speech #speech_synthesis #speech_to_text #speech_translation

I can help you build a fast, modular voice agent that turns speech into text, sends it to a language model, then speaks the answer back. It works with open-source or hosted models, can run fully local on your own hardware, and supports live transcription and low-latency conversation, so you get a flexible voice app that you can customize for speed, privacy, and different devices.

https://github.com/huggingface/speech-to-speech

#python #audiobook #faster_whisper #gradio #karaoke #podcasts #speech_recognition #speech_synthesis #speech_to_text #subtitles #text_to_speech #transcription #translator #tts #voice_cloning #voice_conversion #webui #whisper #whisperx #yt_dlp

Voice-Pro is a free, open-source Windows app that lets you download YouTube videos, separate voices, turn speech into text, translate into 100+ languages, and create new speech or cloned voices. It gives you one tool for subtitles, dubbing, and voice work, so you can save time and make multilingual content more easily.

https://github.com/abus-aikorea/voice-pro

#python #ai #audiobook #cuda #dubbing #elevenlabs_alternative #huggingface #local_first #mlx #omnivoice_studio #speech_to_text #tauri #text_to_speech #transcription #translate #tts #voice_ai #voice_cloning #voice_generation #voicestudio #workflow

VoiceStudio is a local app for voice cloning, dubbing, dictation, and long audio work on macOS, Windows, and Linux. It works offline after setup, keeps your voices and files on your machine by default, and gives you many engines and languages to choose from. This helps you make speech faster, protect privacy, and avoid accounts, subscriptions, or usage limits.

https://github.com/debpalash/VoiceStudio

#javascript #ai #anthropic #cross_platform #gemini #groq #linux #macos #nvidia #open_source #openai #parakeet #speech_to_text #transcribe #whisper #windows

OpenWhispr is a free, open-source voice-to-text app for Mac, Windows, and Linux. It lets you press a hotkey, speak, and turn your words into text, notes, meeting transcripts, or AI actions, with a private offline option that keeps audio on your device. This helps you type faster, take better notes, and work more privately, while still giving you the choice to use cloud processing for speed.

https://github.com/OpenWhispr/openwhispr