Short for JavaScript Object Notation. Allows for information to be stored in a hierarchical fashion within a single document.

An uninterrupted chain of spoken language by a single speaker. An utterance is a region of speech audio that ends with a period of silence that exceeds a threshold duration, or that exceeds the maximum utterance duration threshold.

A file format for digitized audio with a RIFF header at the beginning. It is not an audio encoding, and the audio after the RIFF header can be highly compressed or not compressed at all.

The process of splitting mono audio into 2 channels, according to speaker. Higher diarization scores indicate that the speech recognizer separated speaker phrases more accurately.

Short for JavaScript Object Notation. Allows for information to be stored in a hierarchical fashion within a single document.

An early portion of the Automatic Speech Recognition process, voice activity detection identifies the portions of an audio file that correspond to speech. This improves performance by not spending processing time attempting to decode audio that is not relevant to speech, such as music or background noise.

Audio compressed with the µ-law companding algorithm, primarily used in digital telecom systems in North America and Japan.

Audio compressed with the A-law companding algorithm, primarily used in digital telecom systems in Europe.

An uninterrupted chain of spoken language by a single speaker. An utterance is a region of speech audio that ends with a period of silence that exceeds a threshold duration, or that exceeds the maximum utterance duration threshold.

Short for JavaScript Object Notation. Allows for information to be stored in a hierarchical fashion within a single document.

Refers to the ability to automatically redact sensitive content from audio files and their transcriptions. This information can be redacted from the audio file, the transcription, or both.

Metric to determine the level of correctness in a given transcript. Accuracy can be calculated with the following formula:

S = number of substitution errors

I = number of insertion errors

D = number of deletion errors

N = number of words in reference transcript

The process of splitting mono audio into 2 channels, according to speaker. Higher diarization scores indicate that the speech recognizer separated speaker phrases more accurately.

Refers to the ability to automatically redact sensitive content from audio files and their transcriptions. This information can be redacted from the audio file, the transcription, or both.

Metric to determine the level of correctness in a given transcript. Accuracy can be calculated with the following formula:

S = number of substitution errors

I = number of insertion errors

D = number of deletion errors

N = number of words in reference transcript

Short for JavaScript Object Notation. Allows for information to be stored in a hierarchical fashion within a single document.

Refers to the ability to automatically redact sensitive content from audio files and their transcriptions. This information can be redacted from the audio file, the transcription, or both.

Technologies that leverage the independent, computer-driven transcription of spoken language into readable text (often known as Speech to Text or STT), enabling users to use speech rather than a keyboard as the source of input data for a computer system.

An uninterrupted chain of spoken language by a single speaker. An utterance is a region of speech audio that ends with a period of silence that exceeds a threshold duration, or that exceeds the maximum utterance duration threshold.

An uninterrupted chain of spoken language by a single speaker. An utterance is a region of speech audio that ends with a period of silence that exceeds a threshold duration, or that exceeds the maximum utterance duration threshold.

Metric to determine the level of correctness in a given transcript. Accuracy can be calculated with the following formula:

S = number of substitution errors

I = number of insertion errors

D = number of deletion errors

N = number of words in reference transcript

Metric to determine the level of correctness in a given transcript. Accuracy can be calculated with the following formula:

S = number of substitution errors

I = number of insertion errors

D = number of deletion errors

N = number of words in reference transcript

Technologies that leverage the independent, computer-driven transcription of spoken language into readable text (often known as Speech to Text or STT), enabling users to use speech rather than a keyboard as the source of input data for a computer system.

Technologies that leverage the independent, computer-driven transcription of spoken language into readable text (often known as Speech to Text or STT), enabling users to use speech rather than a keyboard as the source of input data for a computer system.

Calculates the total number of errors (which includes insertions, deletions, and substitutions), divides that by the number of words in the transcript

Calculates the total number of errors (which includes insertions, deletions, and substitutions), divides that by the number of words in the transcript

Technologies that leverage the independent, computer-driven transcription of spoken language into readable text (often known as Speech to Text or STT), enabling users to use speech rather than a keyboard as the source of input data for a computer system.

Technologies that leverage the independent, computer-driven transcription of spoken language into readable text (often known as Speech to Text or STT), enabling users to use speech rather than a keyboard as the source of input data for a computer system.

A transcript and associated metadata produced from an audio file, in JSON format. The Voci JSON format is documented in the VociJSON Output Format Guide.