Canonical: https://instain.ru/en/ai/f5-tts/ Language: en Yushen Chen and co-authors model # F5-TTS. Speech synthesis from a transcribed voice sample 4.33 / 5 [Directory score](https://instain.ru/en/ai/f5-tts/#editorial-rating) [Official website ](https://swivid.github.io/F5-TTS/) A speech synthesis model based on flow matching. In the typical local workflow, a reference audio file and its transcript guide the voice. ![F5-TTS. Repository of authors with code and local start setting.](https://instain.ru/assets/images/f5-tts-screen-a43f99bf1245-1200.webp) Repository of authors with code and configuration of local start F5-TTS. [Open the source ](https://github.com/SWivid/F5-TTS) ## Why the reference transcript matters In the usual workflow, F5-TTS uses a voice sample and the words actually spoken in it to generate a new line. Pick a clip of one speaker without background music or distracting noise. Check the transcript by hand, especially if the speaker stumbles or restarts a word. A clip with hard-to-understand speech makes a poor reference. ## Test on a short training tip Write down your own phrase that after inspecting the device you need to fill out a journal. Prepare the following phrase with one abbreviation and date. After synthesis, check the numbers by ear, then listen to the model move to a short word after a pause. If the abbreviation sounds wrong, compare the option with the full spelling. Success on one short phrase does not yet show that the long instruction will be kept at the same pace. Keep the source and results separate. In the draft, this simplifies the comparison of different voice samples and does not confuse recording with synthesis. ## Local launch and rights restrictions The repository provides commands for different installation and startup options. Check the compatibility of the computing environment before processing long text. The MIT license refers to the code, and for pre-arranged scales, developers specify CC BY-NC. Separately agree on the possibility of using a voice sample for synthesis and publication. Access to the model files does not replace such coordination. ## Suitable tasks - Collect a black line with the allowed voice - Verify pronunciation of names and numbers Features ## Strengths - Local start code and audio examples of authors - Accepts reference audio and a transcript Things to consider ## Limitations - Pre-trained weights have a non-commercial license - Results depend on the recording quality and transcript accuracy ## Selection and conditions Free access Yes Trial period Not confirmed No sign-up required Not confirmed Russian interface Not confirmed Local installation Yes API Not confirmed “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Text, Audio Result Audio ### Terms Authors publish code, weights and audio examples. The command line and local interface of Gradio are available, described in the repository. From task to first result ## Practical example Task Collect a black line with the allowed voice What to prepare Own voice recording with synthesis resolution and several new phrases in a suitable language. ### Task brief or prompt Speak phrases on a voice pattern. Check the names, intonation and naturalness of pauses. ### Expected result Black audio track with synthesized speech. ### How to check the result - Verify the text with the entire recording. - Compare the timbre on different phrases and check the voice permission. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [Study page and F5-TTS sound examples ](https://swivid.github.io/F5-TTS/) - [Local launch, examples and F5-TTS licenses ](https://github.com/SWivid/F5-TTS) - [Study authors on F5-TTS speech synthesis ](https://arxiv.org/abs/2410.06885) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer Yushen Chen and co-authors Category [Audio](https://instain.ru/en/category/audio/) Access Authors publish code, weights and audio examples. The command line and local interface of Gradio are available, described in the repository. Payment The code is distributed by MIT, pre-trained weights are published under CC BY-NC. The commercial scenario requires a separate verification of the conditions. API No separate API specified [Developer terms ](https://github.com/SWivid/F5-TTS) Directory score 4.33 / 5 Features 4.50 / 5 Workflows 4.10 / 5 Ecosystem 4.30 / 5 Documentation 4.40 / 5 Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing. [See the methodology ](https://instain.ru/en/methodology/) Keep exploring ## For similar tasks [Full category ](https://instain.ru/en/category/audio/) Audio ### [ZONOS](https://instain.ru/en/ai/zyphra-zonos/) Speech synthesis with a voice reference 4.38 / 5 model Similar tasks; compare terms, formats and limitations