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Speechly
ByOttomatiasOttomatias

Speechly

#17in Voice & Audio Models
Discussions0
Followers4
OverviewDiscussionsAdoptionAlternativesIntegrations
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What is Speechly?

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Speechly is a tool in the Voice & Audio Models category of a tech stack.

Key Features

Real timeFully streamingReact clientJavascript clientiOS clientAndroid clientSpeech recognitionNatural language understandingEasy to configure

Speechly Pros & Cons

Pros of Speechly

  • ✓Easy to configure
  • ✓Browser support
  • ✓Great SDKs for all platforms
  • ✓Privacy options
  • ✓Real-time visual feedback

Cons of Speechly

No cons listed yet.

Speechly Alternatives & Comparisons

What are some alternatives to Speechly?

Transformers

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

rasa NLU

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Gensim

Gensim

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

Sentence Transformers

Sentence Transformers

It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.

Amazon Comprehend

Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.

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Adoption

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Speechly Integrations

React, React Native are some of the popular tools that integrate with Speechly. Here's a list of all 2 tools that integrate with Speechly.

React
React
React Native
React Native
Companies
0
Developers
4
OSPA