open source speech to text huggingface - Brave Search

What are the latest Open Source Speech To Text Models with a focus on real-time

discuss.huggingface.co › t › what-are-the-latest-open-source-speech-to-text-models-with-a-focus-on-real-time › 160530

When it comes to locally executable models, the Whisper series seems to have a lot of know-how. However, there are other options as well. In terms of speed, FastRTC excels in real-time performance, but it’s quite specialized. Or rather, it’s cloud-based? [image] Open ASR Leaderboard - a Hu… Answer from John6666 on discuss.huggingface.co

huggingface.co › models

Text-to-Speech Models – Hugging Face

Text-to-Speech • Updated 6 days ago • 18.1k • 439 · Text-to-Speech • Updated Sep 23 • 637k • • 1.33k · Text-to-Speech • 3B • Updated Nov 12 • 75k • • 821 · Text-to-Speech • 0.6B • Updated 6 days ago • 10.9k • 47 · Text-to-Speech • 0.7B • Updated Oct 10 • 23.2k • 804 ·

huggingface.co › docs › transformers › tasks › text-to-speech

Fine-tune SpeechT5 that was originally trained on English speech on the Dutch (nl) language subset of the VoxPopuli dataset. Use your refined model for inference in one of two ways: using a pipeline or directly. Before you begin, make sure you have all the necessary libraries installed: ... Install 🤗Transformers from source as not all the SpeechT5 features have been merged into an official release yet:

Videos

The Best Free Text to Speech AI You've Never Heard Of (Open Source) ...

My Top 5 Open-Source AI Text-to-Speech Models - YouTube

February 12, 2025

3 steps to run HuggingFace 🤗 "Parler TTS" AI Voice on your local ...

October 13, 2024

Hugging Face : Text to Audio | Text to Speech Generation - How ...

Let's Dive into a Speech Generation with AI Models Tutorial | ...

Hugging Face - Text to Speech - Getting started in 5 minutes - YouTube

huggingface.co › docs › transformers › model_doc › speech_to_text

The bare Speech To Text Text Model outputting raw hidden-states without any specific head on to.

github.com › huggingface › speech-to-speech

GitHub - huggingface/speech-to-speech: Speech To Speech: an effort for an open-sourced and modular GPT4-o

OpenAI API · TTS · Parler-TTS 🤗 · MeloTTS · ChatTTS · Clone the repository: git clone https://github.com/huggingface/speech-to-speech.git cd speech-to-speech · Install the required dependencies using uv: uv pip install -r requirements.txt · For Mac users, use the requirements_mac.txt file instead: uv pip install -r requirements_mac.txt ·

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reddit.com › r/localllama › 🎧 listen and compare 12 open-source text-to-speech models (hugging face space)

r/LocalLLaMA on Reddit: 🎧 Listen and Compare 12 Open-Source Text-to-Speech Models (Hugging Face Space)

July 6, 2025 -

Hey everyone!

We have been exploring various open-source Text-to-Speech (TTS) models, and decided to create a Hugging Face demo space that makes it easy to compare their quality side-by-side.

The demo features 12 popular TTS models, all tested using a consistent prompt, so you can quickly hear and compare their synthesized speech and choose the best one for your audio projects.

Would love to get feedback or suggestions!

👉 Check out the demo space and detailed comparison here!

👉 Check out the blog: Choosing the Right Text-to-Speech Model: Part 2

Share your use-case and we will update this space as required!

Which TTS model sounds most natural to you?

Cheers!

Nice to have it all in one place. It'd be even nicer to have an apples to apples comparison, thus all female or all male voices, instead of mixed like it's now. Maybe both? The CSM example sounds like it's full of artifacts, just like F5-TTS - and both were highlighted for speech quality. Maybe something went wrong during generation? At least Sesame can sound way better. The Llasa sample seems slightly broken - that's maybe a hint that this happens more often? Same with the background noise for MegaTTS3. Orpheus was probably standing in a large room during the generation 😉.

Cool project! And thanks for the work you put into it and making it a useful tool for others! I'd love to see Chatterbox and Kyutai added to the mix as well. At least, assuming they are open-source, if they aren't, of course, ignore this.

discuss.huggingface.co › models

What are the latest Open Source Speech To Text Models with a focus on real-time - Models - Hugging Face Forums

When it comes to locally executable models, the Whisper series seems to have a lot of know-how. However, there are other options as well. In terms of speed, FastRTC excels in real-time performance, but it’s quite specialized. Or rather, it’s cloud-based? [image] Open ASR Leaderboard - a Hu…

modal.com › blog › open-source-tts

The Top Open-Source Text to Speech (TTS) Models

It’s currently the top trending text-to-speech model on Hugging Face. It’s an open sourced model that was built on top of Llama 3.2 3B, pre-trained on over 10 million hours of audio data. This model provides industry-leading expressive audio generation and multilingual voice cloning.

huggingface.co › docs › transformers › en › tasks › asr

Automatic speech recognition

Fine-tune Wav2Vec2 on the MInDS-14 dataset to transcribe audio to text. Use your fine-tuned model for inference. To see all architectures and checkpoints compatible with this task, we recommend checking the task-page · Before you begin, make sure you have all the necessary libraries installed: ... We encourage you to login to your Hugging Face account so you can upload and share your model with the community.

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github.com › huggingface › parler-tts

GitHub - huggingface/parler-tts: Inference and training library for high-quality TTS models.

It is a reproduction of work from ... from Stability AI and Edinburgh University respectively. Contrarily to other TTS models, Parler-TTS is a fully open-source release....

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huggingface.co › WhisperSpeech › WhisperSpeech

WhisperSpeech/WhisperSpeech · Hugging Face

An Open Source text-to-speech system built by inverting Whisper.

blog.gopenai.com › simplify-text-to-speech-with-hugging-face-open-source-model-4e8dd11b77a5

Simplify Text-to-Speech with Hugging Face Open Source Model | by LaxmiKumar Reddy Sammeta | GoPenAI

May 25, 2024 - Conclusion: In this article, I’ve ... perform Text-to-Speech using Hugging Face’s open source model kakao-enterprise/vits-vctk. By following the step-by-step guide and executing the provided code examples, you can easily integrate TTS ...

reddit.com › r/huggingface › open source speech to text model that supports multiple language detection for real time streaming?

r/huggingface on Reddit: Open source Speech To Text model that supports Multiple language detection for Real time streaming?

January 1, 2024 -

Hi 👋 I’m researching the best speech to text model that can support multiple language to auto detect language for real time streaming.

I’m really struggling to find the right platform or service. Deepgram has done solid SEO so keep getting articles which says it’s better but also it doesn’t support auto detect language for real time streaming! Has anyone used google speech to text or any other service that supports this? Or any open source model? Thanks so much

Have you tried Whisper?

What is whisper?

reddit.com › r/localllama › improved text to speech model: parler tts v1 by hugging face

r/LocalLLaMA on Reddit: Improved Text to Speech model: Parler TTS v1 by Hugging Face

August 8, 2024 -

Hi everyone, I'm VB, the GPU poor in residence (focus on open source audio and on-device ML) at Hugging Face! 🤗

Quite please to introduce you to Parler TTS v1 🔉 - 885M (Mini) & 2.2B (Large) - fully open-source Text-to-Speech models! 🤙

Some interesting things about it:

Trained on 45,000 hours of open speech (datasets released as well)
Upto 4x faster generation thanks to torch compile & static KV cache (compared to previous v0.1 release)
Mini trained on a larger text encoder, large trained on both larger text & decoder
Also supports SDPA & Flash Attention 2 for an added speed boost
In-built streaming, we provide a dedicated streaming class optimised for time to the first audio
Better speaker consistency, more than a dozen speakers to choose from or create a speaker description prompt and use that
Not convinced with a speaker? You can fine-tune the model on your dataset (only couple of hours would do)

Apache 2.0 licensed codebase, weights and datasets! 🤗

Can't wait to see what y'all would build with this!🫡

Quick links:

Model checkpoints: https://huggingface.co/collections/parler-tts/parler-tts-fully-open-source-high-quality-tts-66164ad285ba03e8ffde214c

Space: https://huggingface.co/spaces/parler-tts/parler_tts

GitHub Repo: https://github.com/huggingface/parler-tts

Where can I find the full list of the 34 voice names, and do you have quick audio samples for them to get an idea of each one?

I took a snippet from the HuggingFace README: Parler-TTS Large v1 is a 2.2B-parameters text-to-speech (TTS) model, trained on 45K hours of audio data, that can generate high-quality, natural sounding speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation). With Parler-TTS Mini v1, this is the second set of models published as part of the Parler-TTS project, which aims to provide the community with TTS training resources and dataset pre-processing code. And tried to have the model read that. Even using the large model with the default voice description, it only speaks part of the words from the beginning and the end, skipping the middle, and losing coherence. Am I doing something wrong by trying to have it speak a few sentences?

huggingface.co › pantelnm › OpenSpeech-TTS

pantelnm/OpenSpeech-TTS · Hugging Face

OpenSpeech TTS is a user-friendly and efficient Text-to-Speech (TTS) API designed to seamlessly integrate with OpenAI's powerful text-to-speech capabilities.

huggingface.co › learn › audio-course › chapter5 › asr_models

Pre-trained models for automatic speech recognition - Hugging Face Audio Course

import torch from transformers import pipeline device = "cuda:0" if torch.cuda.is_available() else "cpu" pipe = pipeline( "automatic-speech-recognition", model="openai/whisper-base", device=device ) Great! Now let’s transcribe the audio as before. The only change we make is passing an extra argument, max_new_tokens, which tells the model the maximum number of tokens to generate when making its prediction: ... {'text': ' He tells us that at this festive season of the year, with Christmas and roast beef looming before us, similarly is drawn from eating and its results occur most readily to the mind.'}

huggingface.co › models

Automatic Speech Recognition Models – Hugging Face

Text-to-Speech · Text-to-Audio · Automatic Speech Recognition · Audio-to-Audio · Audio Classification · Voice Activity Detection · Tabular · Tabular Classification · Tabular Regression · Time Series Forecasting · Reinforcement Learning · Reinforcement Learning ·

huggingface.co › tasks › text-to-speech

What is Text-to-Speech? - Hugging Face

from transformers import pipeline synthesizer = pipeline("text-to-speech", "suno/bark") synthesizer("Look I am generating speech in three lines of code!") You can use huggingface.js to infer summarization models on Hugging Face Hub.

huggingface.co › microsoft › VibeVoice-1.5B

microsoft/VibeVoice-1.5B · Hugging Face

Frontier Text-to-Speech Models https://microsoft.github.io/VibeVoice/ • 8 items • Updated 13 days ago • 171

huggingface.co › collections › parler-tts › parler-tts-fully-open-source-high-quality-tts-66164ad285ba03e8ffde214c

Parler-TTS: fully open-source high-quality TTS - a parler-tts Collection

Text-to-Speech • 0.9B • Updated Nov 25, 2024 • 8.27k • 149

kdnuggets.com › striving-open-source-modular-gpt4o-hugging-face-speech

Striving for Open Source Modular GPT4-o with Hugging Face’s Speech To Speech - KDnuggets

In the pursuit of achieving the closed-source model capability, Hugging Face tries to emulate a project called Speech-to-Speech. The project utilizes models from the Hugging Face Transformers library on the hub to create a pipeline that can ...