…little-endian mono audio data. In SPE 3.46 and newer, the audio sampling frequency must be set to the naturalSampleRateHertz value provided in the TTS service capabilities information. In SPE 3.45 and older, the audio sampling frequency must be fixed to 8000 Hz. SPE then reads the audio and writes it either to a file, or to an output realtime stream,…
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…outputs The outputs can contain the following special tokens: Token (5th STT generation and newer) Token (legacy STT generations) Meaning <segment> <s> start of utterance </segment> </s> end of utterance <silence/> _SILENCE_ or <sil/> silent part (or no speech detected) <null/> _DELETE_ time slot should not go to one-best output Realtime stream processing output modes NOTE: Only single-channel (mono) audio…
…in the Languages Available section. Speech To Text (STT) and Keyword Spotting (KWS) languages Language Identification (LID) languages Supported Audio input The Speech Engine server supports various audio formats as listed in API reference > Audio requirements. It also supports the RTP/HTTP stream processing as listed in API reference > RTP/HTTP streams. The Speech Engine allows the usage of some…
Phonexia Browser application may return error “1007: Unsupported audio format” during uploading audio file. Please consider if your audio files are in Q: What are the supported audio formats? . But if you need use as input audio recordings in other formats, you can configure SPE for audio automated conversion. As prerequisite install external tool for audio conversion. Recommend is…
…is robust in such factors, several result enhancement procedures can provide even better results and stronger evidence. Audio Source Profile An Audio Source Profile is a representation of the speech source, e.g., device, acoustic channel, distance from microphone, language, gender, etc. Technically, an Audio Source Profile is an entity that contains all information required for any system calibration or result…
…the audio, and the amount of actual speech in the audio affect the processing speed… because the the non-speech parts are stripped from the audio before processing. The processing speed is then calculated as follows: FtRT = sum_of_speech_lengths_in_all_recordings ÷ sum_of_processing_times_of_all_recordings When using the option with your specified file, only that single recording is used… so, to account for various audio…
One of the improvements implemented since Speech Engine 3.24 is neural-network based VAD, used for word- and segment detection. This article describes the segmenter configuration parameters and how they are affecting the realtime stream STT results. The default segmenter parametrs are as shown below: [vad.online_segmenter:SOnlineVoiceActivitySegmenterI] backward_extensions_length_ms=150 forward_extensions_length_ms=750 speech_threshold=0.5 Backward- and forward extension are intervals in miliseconds, which extend the part…
…computing performance is better by ~17% compared with Intel® Xeon® E5 2860 v4 FtRTaudio shows that real requirements for HW and its computing power are approx. 62% lower than traditional approach using FtRTnet_speech for audio dataset with similar ratio between speech and non-speech (silence) and it is proven by measuring it. Best practices Use FtRTaudio when calculating hardware sizing and…
…configured do this conversion automatically in background, see Understand SPE audio converter article. Great tools for converting other than supported formats to supported are FFmpeg (http://www.ffmpeg.org) or SoX (http://sox.sourceforge.net/). Both are multiplatform software tools for Microsoft Windows, Linux and Apple OS X. Example of usage: FFmpeg ffmpeg -i <source_audio_file_name> <output_audio_base_name>.wav This command converts any supported format/codec audio file to normalized…
…the Product partially functional, the use of which in a production environment is substantially reduced. The Issue contains an error that impairs the ability of the system to process a majority of audio files or audio streams, or that renders the setup and maintenance of the system inoperable. Permalink Critical Issue The system is inoperative, and it has a critical…
…dialogue. This can be used to improve calls between operators and callers or to indicate potential stress points in phone calls, for example, change of speech speed during the conversation). Input TAE can process both audio files and streams (for format details see Speech Engine documentation). By its nature, TAE is usable mainly on two channel phone calls recordings, where…
Before designing and developing the application, we encourage Partner to find clear answer for the following questions: Customer requirements: Do my customers need file processing (audio) or stream processing in real time? What is the human power of the customer that can analyze the results? How many minutes per day or streams in parallel do my customer need to process?…
Phonexia Phoneme Recogniser (PHNREC) converts speech signals into pronunciation characters (so called phonemes). After the conversion, the pronunciation (text) can be easily indexed and searched by third party text data mining tools. The technology is optimized for noisy recordings and colloquial speech, can process audio files as well as audio streams and can provide results in several output formats. Phoneme…
…variants are provided), for both file- and stream transcription. The reason for not having it available in the word-level outputs (One-best, Confusion Network) is that it would create difficulties in stream transcription – as new words keep coming, they may potentially change the previous output: two… 2 two thousand… 2000 two thousand twenty… 2020 two thousand twenty one 2021 And…
About STT Phonexia Speech to Text (STT) converts speech in audio signals into plain text. Technology works with both acoustics as well as dictionary of words, acoustic model and pronunciation. This makes it dependent on language and dictionary – only some set of words can be transcribed. As an input, audio file or stream is needed, together with selection of…