Voice Activity Detection is a language-, domain- and channel-independent technology that identifies parts of audio recordings with speech content vs. non-speech content. It creates labels for speech and other signals in the recording; this can then serve as a decision point whether to process the recording by other technologies or not. VAD is usually part of rapid filtration process in…
Search: channel
21 results
…1.3 2015-06-04 2016-12-04 2016-12-04 Public Changelogs Voice Inspector 5.2 Voice Inspector 5.2.0, BSAPI 3.61.0 (2024-04-04) New: New Case wizard checks for presence of Questioned and Reference recordings New: Number of audio channels is displayed in Case view Recording details view Score table view Report Fixed: Application crash with phoneme search Fixed: Generalized logistic distribution for Suspected speaker vs. Suspected speaker…
…Browser, FAQ Speech Platform Permalink Q: What is the difference between on-the-fly and off-line type of speech to text transcription (STT)? A: Similarly as human, the ASR (STT) engine is doing the adaptation to an acoustic channel, environment and speaker. Also the ASR (STT) engine is learning more information about the content during time, that is used to improve recognition….
…in each recording (i.e. usually 2+ minutes recording length) only one speaker in each recording wide variety of gender and age is recommended recordings should be as similar to the target use case as possible (device, channel, distance from mic, languages distribution) audio files should be mono, lin16 format, 8 kHz+ sample rate *Note: splitting single recording into multiple shorter…
SPE directly supports limited list of audio formats (codecs and containers), see Supported audio formats FAQ. Other audio formats must be converted using external tools. This conversion can be done either completely outside of SPE, before passing the files to SPE, or you can set up SPE to convert the files automatically. Then, depending on the capabilities of the conversion…
…total (i.e. 3 to 5 recordings per speaker*) 1+ minute of net speech in each recording (i.e. usually 2+ minutes recording length) only one speaker in each recording wide variety of gender and age is recommended recordings should be as similar to the target use case as possible (device, channel, distance from mic, languages distribution) audio files should be mono,…