#go #ai #artificial_intelligence #assistant #backend #chatbot #deep_learning #golang #machine_learning #natural_language_processing #neural_network #olivia #translations #voice_assistant

https://github.com/olivia-ai/olivia

#cplusplus #android #asr #deep_learning #deep_neural_networks #deepspeech #google_speech_to_text #ios #kaldi #offline #privacy #python #raspberry_pi #speaker_identification #speaker_verification #speech_recognition #speech_to_text #speech_to_text_android #stt #voice_recognition #vosk

https://github.com/alphacep/vosk-api

#c_lang #linux #noise_reduction #noise_suppression #pulseaudio #voice #voice_activated #voice_activity_detection

https://github.com/noisetorch/NoiseTorch

#jupyter_notebook #overlapped_speech_detection #pretrained_models #pytorch #speaker_change_detection #speaker_diarization #speaker_embedding #speaker_recognition #speaker_verification #speech_activity_detection #speech_processing #voice_activity_detection

https://github.com/pyannote/pyannote-audio

#python #onnx #pytorch #voice_activity_detection #voice_commands #voice_control #voice_detection #voice_recognition

https://github.com/snakers4/silero-vad

#python #agents #ai #multimodal #real_time #video #voice #voice_assistant

The Agents framework helps you build AI-driven programs that can interact with users in real-time through text, audio, images, or video. It integrates with OpenAI's Realtime API for ultra-low latency interactions and supports various plugins for speech-to-text, text-to-speech, and other AI services. You can use it to create voice assistants, transcription agents, and more, with easy deployment across local, self-hosted, or cloud environments. This makes it easier to develop interactive AI applications quickly and efficiently.

https://github.com/livekit/agents

#python #asr #audio #audio_processing #deep_learning #huggingface #language_model #pytorch #speaker_diarization #speaker_recognition #speaker_verification #speech_enhancement #speech_processing #speech_recognition #speech_separation #speech_to_text #speech_toolkit #speechrecognition #spoken_language_understanding #transformers #voice_recognition

SpeechBrain is an open-source toolkit that helps you quickly develop Conversational AI technologies, such as speech assistants, chatbots, and language models. It uses PyTorch and offers many pre-trained models and tutorials to make it easy to get started. You can train models for various tasks like speech recognition, speaker recognition, and text processing with just a few lines of code. SpeechBrain also supports GPU training, dynamic batching, and integration with HuggingFace models, making it powerful and efficient. This toolkit is beneficial because it simplifies the development process, provides extensive documentation and tutorials, and is highly customizable, making it ideal for research, prototyping, and educational purposes.

https://github.com/speechbrain/speechbrain

#python #audio_generation #audio_synthesis #audioldm #audit #fastspeech2 #hifi_gan #music_generation #naturalspeech2 #singing_voice_conversion #speech_synthesis #text_to_audio #text_to_speech #vall_e #vits #voice_conversion

Amphion is a toolkit for generating audio, music, and speech. It helps researchers and engineers, especially beginners, by providing tools for various tasks like turning text into speech (TTS), singing voice conversion (SVC), and text to audio (TTA). Amphion includes visualizations to help understand how these models work, which is very useful for learning. It also offers different vocoders to produce high-quality audio and evaluation metrics to ensure the generated audio is good. This toolkit is free to use under the MIT License and can be installed easily using Python or Docker. Using Amphion, you can create high-quality audio and music with advanced features, making it a powerful tool for both research and practical applications.

https://github.com/open-mmlab/Amphion

#python #ai_translation #dubbing #localization #video_translation #voice_cloning

VideoLingo is a powerful tool that helps translate, localize, and dub videos, making them understandable across different languages. It uses advanced technologies like WhisperX for accurate subtitle recognition and GPT for high-quality translations. The tool ensures single-line subtitles, similar to those on Netflix, and offers dubbing alignment for a more natural viewing experience. You can use it online, in Google Colab, or install it locally on your computer. This makes it easier to share videos globally without language barriers, enhancing global knowledge sharing and communication.

https://github.com/Huanshere/VideoLingo

#python #agent #ai #asr #cpp #gemini #golang #gpt_4 #gpt_4o #llm #low_latency #multimodal #nextjs14 #openai #python #rag #real_time #realtime #tts #vision #voice_assistant

The TEN Agent is a powerful tool that helps you create and manage AI agents with various capabilities like real-time vision, screen detection, and integration with services like Google Gemini Multimodal Live API, Weather Check, and Web Search. To use it, you need to set up your environment with Docker, Node.js, and specific API keys. You can follow simple steps to configure and start your agent locally. The benefits include easy integration of advanced AI features, a supportive community through Discord and GitHub discussions, and the ability to customize and extend your agents with ready-to-use extensions. This makes it easier to develop and deploy sophisticated AI applications quickly.

https://github.com/TEN-framework/TEN-Agent