best text to speech model huggingface ai voice - Brave Search

huggingface.co › models

Text-to-Speech Models – Hugging Face

Text-to-Speech + 44 · Parameters Reset Parameters · < 1B · 6B · 12B · 32B · 128B · > 500B · < 1B · > 500B · Libraries · PyTorch · TensorFlow · JAX · Transformers · Diffusers · sentence-transformers · Safetensors · ONNX · GGUF · Transformers.js · MLX + 41 · Apps · vLLM · TGI · llama.cpp · MLX LM · LM Studio · Ollama · Jan + 12 · Inference Providers · Groq · Novita · Nebius AI ·

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

Since SpeechT5 was pre-trained with English x-vectors, it performs best when using English speaker embeddings. If the synthesized speech sounds poor, try using a different speaker embedding. Increasing the training duration is also likely to enhance the quality of the results. Even so, the speech clearly is Dutch instead of English, and it does capture the voice characteristics of the speaker (compare to the original audio in the example). Another thing to experiment with is the model’s configuration.

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

SpeechT5 added to Hugging Face Transformers

People also ask

What models can I use for Text-to-Speech?

The KittenML/kitten-tts-nano-0.1, ResembleAI/chatterbox, fishaudio/fish-speech-1.5, and nari-labs/Dia-1.6B-0626 models can be used for Text-to-Speech.

huggingface.co › tasks › text-to-speech

What is Text-to-Speech? - Hugging Face

What is Text-to-Speech?

Text-to-Speech (TTS) is the task of generating natural sounding speech given text input. TTS models can be extended to have a single model that generates speech for multiple speakers and multiple languages.

huggingface.co › tasks › text-to-speech

What is Text-to-Speech? - Hugging Face

What metrics can I use for Text-to-Speech?

The and mel cepstral distortion metric can be used for Text-to-Speech.

huggingface.co › tasks › text-to-speech

What is Text-to-Speech? - Hugging Face

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.

huggingface.co › learn › audio-course › en › chapter6 › pre-trained_models

Pre-trained models for text-to-speech - Hugging Face Audio Course

It should be noted that each of the first three modules can support conditional speaker embeddings to condition the output sound according to specific predefined voice. Bark is an highly-controllable text-to-speech model, meaning you can use ...

huggingface.co › models

Automatic Speech Recognition Models – Hugging Face

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 · Robotics · Other ·

huggingface.co › docs › transformers › model_doc › speech_to_text

The Speech2Text model was proposed in fairseq S2T: Fast Speech-to-Text Modeling with fairseq by Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino. It’s a transformer-based seq2seq (encoder-decoder) model designed for end-to-end ...

huggingface.co › spaces › NihalGazi › Text-To-Speech-Unlimited

Realistic Text To Speech Unlimited - a Hugging Face Space by NihalGazi

Enter text, choose a voice and emotion, and generate audio. The text is checked for appropriateness before conversion. You'll get an audio file as a result.

reddit.com › r/localllama › what's the best speech-to-text model right now?

r/LocalLLaMA on Reddit: What's the Best Speech-to-Text Model Right Now?

September 13, 2025 -

I am looking for the best Speech-to-Text/Speech Recognition Models, anyone could recommend any?

Try https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2 (smaller option) or https://huggingface.co/openai/whisper-large-v3-turbo . Run the parakeet model using nemo library and use something like https://github.com/SYSTRAN/faster-whisper or https://github.com/ggml-org/whisper.cpp for the latter

Check out the HF ASR leaderboard. https://huggingface.co/spaces/hf-audio/open_asr_leaderboard Assume you are looking for an open source one? I am a fan of the nvidia parakeet series but it depends on your use case.

Find elsewhere

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huggingface.co › tasks › text-to-speech

What is Text-to-Speech? - Hugging Face

Text-to-Speech • Updated Mar 25 • 1.87k • 657 · Note A massively multi-lingual TTS model.

github.com › huggingface › parler-tts

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

Parler-TTS is a lightweight text-to-speech (TTS) model that can generate high-quality, natural sounding speech in the style of a given speaker (gender, pitch, speaking style, etc).

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Languages Python

modal.com › blog › open-source-tts

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

Chatterbox is a small, fast, and easy-to-use TTS model developed by Resemble AI. Chatterbox was built atop 0.5B Llama. Until recently, it was the #1 trending TTS model on Hugging Face.

huggingface.co › models

Models – Hugging Face

OVHcloud AI Endpoints · HF Inference API · WaveSpeed · Misc Reset Misc · text-to-speech · Inference Endpoints · text-generation-inference · Eval Results · Merge · 4-bit precision · custom_code · 8-bit precision · text-embeddings-inference · Mixture of Experts ·

huggingface.co › blog › arena-tts

TTS Arena: Benchmarking Text-to-Speech Models in the Wild

Just submit some text, listen to two different models speak it out, and vote on which model you think is the best. The results will be organized into a leaderboard that displays the community’s highest-rated models. The field of speech synthesis has long lacked an accurate method to measure the quality of different models.

huggingface.co › infinisoft › tts

infinisoft/tts · Hugging Face

If you are only interested in synthesizing speech with the released 🐸TTS models, installing from PyPI is the easiest option. ... If you plan to code or train models, clone 🐸TTS and install it locally. git clone https://github.com/coqui-ai/TTS ...

huggingface.co › spaces

Spaces - Hugging Face

Generate a podcast from a script with AI voices · Running on Zero · 14 · 🏢 · Vibe Voice Large with Custom Voices (Voice Cloning) Running · Featured · 1.21k · 🎤 · Convert spoken words into text · Running · 5 · 🦜 · Generate speech from text with Paratts technology · Running on Zero · Featured · 787 · 🤫 · Transcribe audio or YouTube videos into text · Running on CPU Upgrade · Featured · 909 · 🏆 · Vote on the latest TTS models!

discuss.huggingface.co › models

Real-Time Text-to-Speech Model - Models - Hugging Face Forums

January 4, 2025 - Greetings everyone, I’m currently looking for real-time tts model that can create an audio as soon as I type. Kindly guide me in this regard.

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 › spaces › balacoon › tts

Text-to-Speech - a Hugging Face Space by balacoon

Enter text and select a model and speaker to generate speech. Listen to the synthesized audio result.

github.com › huggingface › speech-to-speech

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

--min_speech_ms: Minimum duration of detected voice activity to be considered speech. --min_silence_ms: Minimum length of silence intervals for segmenting speech, balancing sentence cutting and latency reduction. model_name, torch_dtype, and device are exposed for each implementation of the Speech to Text, Language Model, and Text to Speech.

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Languages Python 99.7% | Dockerfile 0.3%

huggingface.co › blog › srinivasbilla › llasa-tts

The SOTA Text-to-speech and Zero Shot Voice cloning model that no one knows about...

An open source llama3 3B finetune that acts as a text to speech model. Not only does it do incredibly realistic text to speech, it can also clone any voice with only a couple seconds of sample audio.