Class TranscriptionRequest
Transcribes audio into the input language.
Namespace: Glitch9.AIDevKit.OpenAI
Assembly: .dll
Syntax
public class TranscriptionRequest : ModelRequest
Remarks
returns the transcription object or a verbose transcription object.
Properties
File
Required. The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Declaration
public FormFile File { get; set; }
Property Value
Type | Description |
---|---|
FormFile |
Language
The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.
Declaration
public SystemLanguage? Language { get; set; }
Property Value
Type | Description |
---|---|
SystemLanguage? |
Prompt
An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
Declaration
public string Prompt { get; set; }
Property Value
Type | Description |
---|---|
string |
Temperature
The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.
Declaration
public float? Temperature { get; set; }
Property Value
Type | Description |
---|---|
float? |
TimestampGranularities
The timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment.
Declaration
public string[] TimestampGranularities { get; set; }
Property Value
Type | Description |
---|---|
string[] |
Remarks
Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.