Audio API
Align transcription
POST
/
audio
/
alignments
The default api.fireworks.ai endpoint is for evaluation use only. To unlock the best performance, get a dedicated endpoint by contacting us at inquiries@fireworks.ai.
Request
(multi-part form)
The input audio file to align with text. Common file formats such as mp3, flac, and wav are supported. Note that the audio will be resampled to 16kHz, downmixed to mono, and reformatted to 16-bit signed little-endian format before transcription. Pre-converting the file before sending it to the API can improve runtime performance
The text to align with the audio.
String name of the voice activity detection (VAD) model to use. Can be one of silero
, or whisperx-pyannet
.
String name of the alignment model to use. Can be one of tdnn_ffn
, mms_fa
, or gentle
.
The format in which to return the response. Can be one of srt
, verbose_json
, or vtt
.
Audio preprocessing mode. Currently supported:
none
to skip audio preprocessing.dynamic
for arbitrary audio content with variable loudness.soft_dynamic
for speech intense recording such as podcasts and voice-overs.bass_dynamic
for boosting lower frequencies;
Response
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