import type * as SarvamAI from "../index.mjs";
export interface SpeechToTextTranslateJobParameters {
    /** Prompt to assist the transcription */
    prompt?: string | undefined;
    /**
     * Model to be used for speech to text translation.
     *
     * - **saaras:v2.5** (default): Translation model that translates audio from any spoken Indic language to English.
     *   - Example: Hindi audio → English text output
     */
    model?: SarvamAI.SpeechToTextTranslateModel | undefined;
    /**
     * Enables speaker diarization, which identifies and separates different speakers in the audio.
     *  When set to true, the API will provide speaker-specific segments in the response.
     *  Note: This parameter is currently in Beta mode.
     */
    with_diarization?: boolean | undefined;
    /** Number of speakers to be detected in the audio. This is used when with_diarization is set to true. */
    num_speakers?: number | undefined;
    /** Audio codec/format of uploaded files. The API automatically detects most formats; for PCM files (pcm_s16le, pcm_l16, pcm_raw), you must specify this parameter. PCM files are supported only at 16kHz sample rate. */
    input_audio_codec?: SarvamAI.InputAudioCodec | undefined;
}