It achieves a real time factor of 0.15 for the detection and transcription process in a medium-range laptop, meaning that 1 min of speech is processed in roughly 9 s. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidus Deep Speech research paper.

SpeechToText achieves 100% accuracy for detecting voice in unencrypted audio/video files, a word error rate (WER) of 27.2% when transcribing English voice messages by non-native speakers and a WER of 7.80% for the test-clean set of LibriSpeech.

DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. The paper also analyzes the availability, storage location and audio format of voice-recorded content in 14 popular Android applications featuring voice recordings. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. Although SpeechToText can be run independently, it also provides a Jython-based software module for the well-known Autopsy software. This allows integrating voice content into the regular flow of a digital forensic investigation, with transcribed audio indexed by text search engines. The system is designed to be as flexible as possible and will. Its free to download on over 1.8B Android devices. Simon is an open source speech recognition program that can replace your mouse and keyboard. In this paper, we present the open source SpeechToText software, which resorts to state-of-the art Voice Activity Detection (VAD) and Automatic Speech Recognition (ASR) modules to detect voice content, and then to transcribe it to text. Live Transcribe is easy to use, anywhere you have a wifi or network connection. This is relevant for digital forensic examinations, as content held in voice format can hold relevant evidence for the investigation. Although text is predominant in digital platforms, voice and video are becoming increasingly important, with communication applications supporting voice messages and videos.

Voice is the most natural way for humans to communicate with each other, and more recently, to interact with voice controlled digital machines.

Open source speech to text