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COMPRISE SDK

 

 Thanks to the COMPRISE SDK, developers can create multilingual, voice-enabled applications in a faster, cost-effective, and privacy-driven way. The SDK is made for Smartphone applications developed with the Ionic framework and uses Angular as its foundation. It consists of the following:

Note: These three components must be installed and configured in the order below.

  1. the COMPRISE Personal Server (GitLab), which executes large related services outside the Smartphone, while still preserving privacy;
  2. the COMPRISE App Wizard (GitLab), which helps developers do all necessary configurations in a quick and easy way;
  3. the COMPRISE Client Library (GitLab), which can be deployed on any Android or iOS device and integrates all required voice functionalities (Speech-to-Text, Spoken Language Understanding, Dialog Management, Spoken Language Generation, Text-to-Speech) together with Machine Translation.

Installation & Usage guide (video)

Functionality (video) 

Partner website (Ascora GmbH) 

COMPRISE PLATFORM

 

The COMPRISE Platform is a cloud-based platform designed to perform the following tasks:

  • collect anonymized speech and text data from Smartphone apps operating the COMPRISE SDK,
  • curating and labelling this data,
  • training Speech-to-Text and Spoken Language Understanding models on this data,
  • providing access to these models.

All these functionalities can be accessed via the web service API with interfaces for Developers, Data Annotators, and Administrators.

Installation & Usage guide (video)

Functionality (video) 

Code and documentation (Gitlab)

Partner website (TILDE SIA) 

COMPRISE VOICE TRANSFORMER

The COMPRISE Voice Transformer is part of the COMPRISE SDK. It increases privacy by converting each person’s voice into another person’s voice, while preserving the spoken message. It:

  • ensures that any information extracted from the transformed voice can hardly be traced back to the original speaker, as validated through state-of-the-art biometric protocols;
  • preserves the utility of the transformed data for training Speech-to-Text models;
  • leverages cutting-edge deep learning and speech processing technology;
  • can be followed by the Voice Builder, which further discards sensitive words and expressions.

Installation & Usage guide (video) 

Functionality (video)

Code and documentation (Gitlab) 

Partner website (Inria) 

COMPRISE TEXT TRANSFORMER

The COMPRISE Text Transformer is part of the COMPRISE SDK. It allows users in various application domains to mask out critical information in a text that would otherwise threaten the privacy of third parties, while preserving the sentence structure. It:

  • replaces words and expressions carrying personal information by random alternatives, focusing on persons’ names, organisations, locations, dates and times;
  • is applicable to all kinds of text documents in addition to spoken dialogues;
  • leverages cutting-edge deep learning and natural language processing technology;

provides formal differential privacy guarantees.

Installation & Usage guide (video)

Functionality (video) 

Code and documentation (Gitlab) 

Partner website (Universität des Saarlandes) 

COMPRISE WEAKLY SUPERVISED STT

The COMPRISE Weakly Supervised STT is part of the COMPRISE Platform. It makes it possible to train Speech-to-Text models while reducing the need for time-consuming and expensive manual data transcription. It consists of two modules:

  • an Automated Labelling module that processes untranscribed speech utterances and outputs one or more text transcriptions for every utterance that exploit specific information about the dialogue domain;
  • a Machine Learning module that takes the transcribed sentences as inputs (and possibly additional manually transcribed sentences) and outputs trained acoustic and language models to be used by a Speech-to-Text system.

Installation & Usage guide (video) 

Functionality (video) 

Code and documentation (Gitlab) 

Partner website (Inria) 

 

COMPRISE WEAKLY SUPERVISED NLU

The COMPRISE Weakly Supervised NLU is part of the COMPRISE Platform. It enables customers to reduce the need for time-consuming and expensive manual data labelling when training a Natural Language Understanding system. It consists of two modules:

  • an Automated Sequence Labelling module that processes unlabelled text sentences and outputs a (noisy) label for each sentence or each token in a sentence;
  • a Machine Learning module that learns Natural Language Understanding models from these noisy labels.

Functionality (video) 

Code and documentation (Gitlab) 

Partner website (Universität des Saarlandes) 

COMPRISE SPEECH-TO-TEXT TRANSLATION

The COMPRISE Speech-to-Text Translation combines Speech-to-Text and Machine Translation in a smart manner in order to allow every user to speak his/her own language when interacting with a dialogue system that internally uses a different language. Instead of combining separately trained Speech-to-Text and Machine Translation models in a pipeline, the Machine Translation system is trained to handle Speech-to-Text errors and disfluencies, so as to reduce translation errors.

Functionality (video) 

Partner website (TILDE SIA) 

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