Speech & audio

Our platform gives access to a large number of speech and audio analysis technologies from the best providers:

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis

Speech-to-text

This technology (also automatic speech recognition) is used to automatically transcribe audio (or video) files and extract the text to be analyzed afterwards.

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis

Custom speech-to-text

Unlike the pre-trained speech-to-text engines, this technology allows to generate a customized transcription engine specially trained on the user's labeled data

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis
Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis
Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis

Text-to-speech

This technology makes it possible to generate audio from a text while choosing the associated voice (male or female voice, etc.)

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis - Speech analysis

Speech analysis

This technology (also called opinion mining) automatically analyzes the feelings and emotions associated with an audio or a video

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis - Speech identification

Speech identification

This technology enables the association of information describing the voice being analyzed: estimation of sex, age, etc. It also possible to use it to identify a person

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis

Speech diarization

This technology is used to separate several voices in an audio and to specify the precise moments when each individual speaks

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis - Language detection

Language detection

This technology automatically defines the most likely language in which an audio is expressed. It can then be translated for example

Speech - Audio - speech-to-text - text-to-speech - speech diarization - sentiment analysis - Speech Translation

Speech translation

This technology allows a speech in an audio to be translated directly from one defined language to another. 

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