Search Results for: language pack

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Phonexia Browser

Relevance: 1%      Posted on: 2017-05-18

About Phonexia Browser v3 (Browser v3) software that combines the power of speech technologies in a single desktop application. The application automatically  performs visualization of records as well as effective filtration of speech metadata uncovered from the user´s records. Speech technologies implemented: Speaker Identification (SID) Language Identification (LID) Gender identification (GID) Voice Activity Detection (VAD) Speaker Diarization (DIAR) Keyword Spotting (KWS, 10+ languages available) Speech Quality Estimator (SQE) Speech to Text (STT, 10+ languages available) Age Estimation (AGE) Browser v3 is a client application cooperating with Speech Engine v3 (SPE3). It is possible to use it as a client -…

Speaker Diarization

Relevance: 1%      Posted on: 2018-04-02

Speaker Diarization labels segments of the same voice(s) in one mono channel audio record based by the individual speaker´s voice. It is a language-, domain- and channel-independent technology. It performs not only the segmentation of speakers, but of technical signals and silence as well. The outputs of the technology can be both log file with labels and/or split audio files/one new multichannel audio file. The correct speaker diarization is still research task nowadays. Typical use cases: Preprocessing for other speech recognition technologies, labeling the parts of the utterance according to the speakers, splitting telephone conversation recorded in mono into several…

Speaker Diarization (DIAR)

Relevance: 1%      Posted on: 2017-06-26

About DIAR Phonexia Speaker Diarization (DIAR) enables segmentation of voices in one monochannel audio record. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Input format for processing: WAV or RAW (8 or 16 bits linear coding), A-law or Mu-law, PCM, 8kHz+ sampling Output Log file with processed information (segmentation of speech, silence, and technical signals – ie. elimination of phone lines beeps, DTMF tones, music, pauses, etc.) Audio file extracted for each…

Keyword Spotting

Relevance: 1%      Posted on: 2019-06-03

Phonexia Keyword Spotting (KWS) identifies occurrences of keywords and/or keyphrases in audio recordings. It can help you to get valuable information from huge quantities of speech recordings. You only need to specify the keywords or phrases you wish to find. This technology identifies all recordings with keyword occurrences and allows you to automatically route important recordings or calls to your experts. Typical use cases Call centers increase operator and supervisor efficiency by searching calls identify inappropriate expressions from operators check marketing campaigns with automatic script-compliance control Mass media and web search servers index and search multimedia by keyword route multimedia…

Q: What languages do you offer?

Relevance: 1%      Posted on: 2017-09-07

It depends on the technology. Phonexia Language Identification (LID) is pre-trained for 30+ languages. Phonexia Keyword Spotting (KWS) and Phonexia Speech Transcription (STT) for 10+ including English, French, German, Russian or American Spanish.

Speech Quality Estimator – Essential

Relevance: 1%      Posted on: 2018-04-04

Phonexia’s Speech Quality Estimator quantifies the acoustic quality of recordings. This helps the user to quickly determine whether the acoustic quality of a recording is good for processing with other speech technologies or not. As an answer for SQE, the SPE returns a json/xml file. This file includes general information about the technology and statistics of all (one or two) channels. The statistics of all channels include the numbers for many aspects of recording quality, and the overall global score. Technology The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies…

KWS

Relevance: 1%      Posted on: 2018-02-01

Phonexia Keyword Spotting - acoustics based ASR, several technologies possible, language dependent

Voice Activity Detection – Essential

Relevance: 1%      Posted on: 2018-04-04

Phonexia Voice Activity Detection (VAD) identifies parts of audio recordings with speech content vs. nonspeech content. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Input format for processing: WAV or RAW (8 or 16 bits linear coding), A-law or Mu-law, PCM, 8kHz+ sampling Output Log file with processed information (speech vs. nonspeech segments) Segmentation The section Segmentation describes the results of VAD, which are segments of detected voice and silence. Segments are…

LID

Relevance: 1%      Posted on: 2018-02-01

Phonexia Language Identification, multiple generations available marked by version like LIDv2 or LIDv3

Age Estimation

Relevance: 1%      Posted on: 2018-04-12

Phonexia Age Estimation (AGE) estimates the age of a speaker from audio recording. The process of voiceprint extraction is similar to the extraction of SID, but as a result different features get extracted; therefore, the voiceprints extracted from AGE and SID are not mutually compatible. Technology Trained with emphasis on spontaneous telephony conversation The technology is language-, accent-, text-, and channel- independent Compatibility with the widest range of audio sources possible (applies channel compensation techniques): GSM/CDMA, 3G, VoIP, landlines, etc. Input Input format for processing: WAV or RAW (8 or 16 bits linear coding), A-law or Mu-law, PCM, 8kHz+ sampling…