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<!doctype html>

<head>

<title>SpeechBrain: A PyTorch Speech Toolkit</title>

window.dataLayer = window.dataLayer || [];

function gtag(){dataLayer.push(arguments);}

gtag('js', new Date());

gtag('config', 'UA-146863989-1');

</script>

</head>

<body>

</button>

<li class="nav-item"><a class="nav-link" href="about.html">About SpeechBrain</a>

<li class="nav-item"><a class="nav-link" href="contributing.html">Contributing</a>

<li class="nav-item"><a class="nav-link" href="https://speechbrain.readthedocs.io/en/latest/index.html">Documentation</a>

<a href="#" class="nav-link dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Tutorials</a>

<li class="nav-item"><a class="nav-link" href="tutorial_basics.html">SpeechBrain Basics</a></li>

<li class="nav-item"><a class="nav-link" href="tutorial_advanced.html">SpeechBrain Advanced</a></li>

<li class="nav-item"><a class="nav-link" href="tutorial_nn.html">Neural Architectures</a></li>

<li class="nav-item"><a class="nav-link" href="tutorial_processing.html">Speech Processing</a></li>

</ul>

</li>

</ul>

</div>

</nav>

</div>

</header>

<h2>SpeechBrain <br /></h2>

<p>A PyTorch Powered Speech Toolkit</p>

<a class="banner_btn" href="tutorial_basics.html">Get Started</a>

<a class="banner_btn2" href="https://github.com/speechbrain/speechbrain">GitHub</a>

<a class="banner_btn3" href="https://speechbrain.discourse.group">Discourse</a>

</div>

</div>

</section>

<h2>Key Features</h2>

<p>SpeechBrain is an open-source and all-in-one speech toolkit.

It is designed to be simple, extremely flexible, and user-friendly. State-of-the-art performance are obtained in various domains.</p>

</div>

<a href="#"><h4>Speech Recognition</h4></a>

<p>SpeechBrain supports state-of-the-art methods for end-to-end

speech recognition, including models based on CTC, CTC+attention, transducers, transformers,

and neural language models relying on recurrent neural networks and transformers.</p>

</div>

<a href="#"><h4>Speaker Recognition</h4></a>

<p>Speaker recognition is already deployed in a wide variety of realistic applications.

SpeechBrain provides different models for speaker recognition, including X-vector, ECAPA-TDNN, PLDA, contrastive learning

</p>

</div>

<a href="#"><h4>Speech Enhancement</h4></a>

<p>Spectral masking, spectral mapping, and time-domain enhancement are different methods already available within SpeechBrain.

Separation methods such as Conv-TasNet, DualPath RNN, and SepFormer are implemented as well.</p>

</div>

<a href="#"><h4>Speech Processing</h4></a>

<p>SpeechBrain provides efficient and GPU-friendly speech augmentation pipelines and acoustic features extraction, normalisation

that can be used on-the-fly during your experiment.

</p>

</div>

<a href="#"><h4>Multi Microphone Processing</h4></a>

<p>Combining multiple microphones is a powerful approach to achieve robustness in adverse acoustic environments.

SpeechBrain provides various techniques for beamforming (e.g, delay-and-sum, MVDR, and GeV) and speaker localization.

</p>

</div>

<a href="#"><h4>Research & Development</h4></a>

<p>SpeechBrain is designed to speed-up research and development of speech technologies.

It is modular, flexible, easy-to-customize, and contains several recipes for popular datasets. Documentation and tutorials are here to

help newcomers using SpeechBrain.</p>

</div>

<a href="#"><h4>HuggingFace!</h4></a>

<p>SpeechBrain provides multiple pre-trained models that can

easily be deployed with nicely designed interfaces.

Transcribing, verifying speakers, enhancing speech, separating sources have never been that easy! </p>

</div>

</section>

<h2>Why SpeechBrain?</h2>

<p> SpeechBrain allows you to easily and quickly customize any part of your speech pipeline

ranging from the data management up to the downstream task metric.<br/>

No existing speech toolkit provides such a level of accessibility.</p>

</div>

<a class="nav-link active" id="home-tab" data-toggle="tab" href="#home" role="tab" aria-controls="home" aria-selected="true">Easy to install</a>

</li>

</li>

<a class="nav-link" id="contact-tab" data-toggle="tab" href="#contact" role="tab" aria-controls="contact" aria-selected="false">Easy to customize</a>

</li>

</ul>

<h3>Adapts to your needs.</h3>

<h6>SpeechBrain allows users to install either via PyPI to rapidly use the standard library or via a local install to view recipes and further explore the features of the toolkit.</h6>

<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>

</div>

# From PyPI

pip install speechbrain

# Local installation

git clone https://github.com/speechbrain/speechbrain.git

cd speechbrain

pip install -r requirements.txt

pip install --editable .

</code></pre>

</div>

<h3>A single command.</h3>

<h6>Every SpeechBrain recipe relies on a YAML file that summarizes all the functions and hyperparameters of the system.

A single Python script combines them to implement the desired task.</h6>

<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>

</div>

cd recipes/{dataset}/{task}/train

# Train the model using the default recipe

python train.py hparams/train.yaml

# Train the model with a hyperparameter tweak

python train.py hparams/train.yaml --learning_rate=0.1

</code></pre>

</div>

<h3>Built for research.</h3>

<h6>SpeechBrain is designed for research and development. Hence, flexibility and transparency are

core concepts to facilitate our daily work. You can define your own deep learning models, losses, training / evaluation loops,

input pipeline / transformations and use them handily without overhead.

</h6>

<a class="main_btn" href="tutorial_basics.html">Get Started Now</a>

</div>

class ASR_Brain(sb.Brain):

def compute_forward(self, batch, stage):

# Compute features (mfcc, fbanks, etc.) on the fly

feats = self.hparams.compute_feats(batch.wavs)

# Improve robustness with pre-built augmentations

feats = self.hparams.augment(feats)

# Apply your custom model

return self.modules.myCustomModel(feats)

</code></pre>

</div>

</section>

<h2>Sponsors</h2>

<p>SpeechBrain thanks its generous sponsors. Sponsoring allows us to expand the team and further extend the functionalities of the toolkit.</p>

</div>

</div>

</div>

</div>

</div>

</div>

</div>

</section>

<h2>Collaborators</h2>

</div>

</div>

</div>

</div>

</div>

</div>

</div>

</section>

<h3>About Us</h3>

</div>

<p style="text-align:justify">SpeechBrain isn't a company or an association.

It is an open-source toolkit and a community created by Dr. Mirco Ravanelli and co-created by Dr. Titouan Parcollet.

We aim at making speech technologies more accessible for the community. </p>

</aside>

</div>

<h3>Opportunities</h3>

</div>

<p>Thanks to our sponsors, we often recruit talented candidates to continue expanding the functionalities of SpeechBrain.

Feel free to contact us at: [email protected]</p>

</aside>

</div>

<h3>Follow Us</h3>

</div>

<p>Let us be social</p>

</ul>

</aside>

</div>

</footer>

</body>

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