Directory
AI audio and speech covers voice synthesis, transcription, and machine learning tools for sound. Listings include text to speech services, dictation and meeting transcription, voice cloning, music generation, and open source models you can run yourself. The languages and accents each one handles matter, along with the length limit for a single job and whether processing happens on your device or on a remote server. Quality and cost also move, since some services change their limits often and a model you can host yourself behaves differently from a hosted one. Voice cloning and generated speech raise consent and rights questions, so use your own recordings or material you are allowed to use.
Sindhi Speech To Text is a Hugging Face Space that converts spoken Sindhi language into written text. Users can upload an audio or video file or record directly from their microphone. The application also offers an option to remove background music.
Sindhi TTS is a Hugging Face Space that generates speech from Sindhi text. Users input text and select a gender for the synthesized voice. The system works best with shorter messages.
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Soundful is an AI music platform for generating royalty-free tracks and loops. Users select a genre and template, with a human-aided AI producing unique tracks. Plans include Free, Plus, Pro, Business and Enterprise, with track downloads varying by plan.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Speechify is a text to speech and voice typing assistant that reads books, PDFs, documents and web pages aloud with natural-sounding voices. It offers text highlighting, speed control and scan and listen, and is available as browser extensions, desktop apps for Windows and Mac, and mobile apps for iOS and Android.
StemGen is an end-to-end music generation model trained to listen to musical context and respond appropriately. It is built on a non-autoregressive language-model type architecture similar to SoundStorm and VampNet, and is presented as examples for an ICASSP2024 paper.
A Hugging Face Space by amphion titled Text To Speech. The application converts text into speech using various voice options, with speaker selection and adjustable speaking rate. For advanced users, it also allows mixing two voices.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
This Hugging Face Space by Xenova is a web application that converts user-entered text to spoken audio. Users can type or paste text into the app, which generates clear audio playback of the content without requiring file uploads.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
The Prompter vicc Substack uses AI for speech, voice, transcription, music, or other audio workflows.
Works with speech, voice, music or other audio using machine-learning models.
Transgate is an AI transcription and translation service for audio and video. It offers two services: transcribe or translate in 50+ languages, with summaries, highlights and the ability to chat with transcripts. Files are uploaded, processed by AI, and results can be exported. It uses a pay-as-you-go model.
This Hugging Face Space by k2-fsa is a text-to-speech application that converts user-entered text to spoken audio. Users can select a language or model, and may upload or record a short reference audio clip to generate speech in a specific person's voice.
Works with speech, voice, music or other audio using machine-learning models.
Tunisian Speech Recognition is a Hugging Face Space created by SalahZa. The application transcribes spoken Tunisian Arabic into text using Arabic characters. Users can provide input audio either by recording through a microphone or uploading an audio file, and the tool returns the corresponding text transcription.
Uyghur TTS Text To Speech is a Hugging Face Space developed by piyazon. The application allows users to input Uyghur text, including numbers, Chinese characters and punctuation, select a Uyghur text-to-speech voice, and convert the typed text into natural-sounding Uyghur speech audio.
Accelerates transcription with the combination of OpenAI's Whisper Large v2, HF Transformers, Optimum, and flash attention.
