@ -11,7 +11,7 @@ The pipeline uses a pre-trained CLMR model to extract embeddings of a given audi
**Input Arguments:**
**Input Arguments:**
- filepath:
- filepath:
- the input audio
- the input audio in `.wav`
- supported types: `str` (path to the audio)
- supported types: `str` (path to the audio)
**Pipeline Output:**
**Pipeline Output:**
@ -45,4 +45,3 @@ $ pip3 install towhee
## How it works
## How it works
This pipeline includes a main operator: [audio embedding](https://hub.towhee.io/towhee/audio-embedding-operator-template) (implemented as [towhee/clmr-magnatagatune](https://hub.towhee.io/towhee/clmr-magnatagatune)). The audio embedding operator encodes fixed-length clips of an audio data and finally output a set of vectors of the given audio.
This pipeline includes a main operator: [audio embedding](https://hub.towhee.io/towhee/audio-embedding-operator-template) (implemented as [towhee/clmr-magnatagatune](https://hub.towhee.io/towhee/clmr-magnatagatune)). The audio embedding operator encodes fixed-length clips of an audio data and finally output a set of vectors of the given audio.