The optional timestamp (in milliseconds) of the start of the
chunk of data corresponding to these results. This is only used for
embedding extraction on time series (e.g. audio embedding). In these use
cases, the amount of data to process might exceed the maximum size that
the model can process: to solve this, the input data is split into
multiple chunks starting at different timestamps.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-01 UTC."],[],[],null,["# mp.tasks.audio.AudioEmbedderResult\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/google/mediapipe/blob/master/mediapipe/tasks/python/components/containers/embedding_result.py#L66-L89) |\n\nEmbedding results for a given embedder model.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`mp.tasks.components.containers.EmbeddingResult`](https://ai.google.dev/edge/api/mediapipe/python/edge/api/mediapipe/python/mp/tasks/audio/AudioEmbedderResult), [`mp.tasks.components.utils.cosine_similarity.embedding_result.EmbeddingResult`](https://ai.google.dev/edge/api/mediapipe/python/edge/api/mediapipe/python/mp/tasks/audio/AudioEmbedderResult), [`mp.tasks.text.TextEmbedderResult`](https://ai.google.dev/edge/api/mediapipe/python/edge/api/mediapipe/python/mp/tasks/audio/AudioEmbedderResult), [`mp.tasks.vision.ImageEmbedderResult`](https://ai.google.dev/edge/api/mediapipe/python/edge/api/mediapipe/python/mp/tasks/audio/AudioEmbedderResult)\n\n\u003cbr /\u003e\n\n mp.tasks.audio.AudioEmbedderResult(\n embeddings: List[../../../mp/tasks/components/containers/Embedding],\n timestamp_ms: Optional[int] = None\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|----------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `embeddings` | A list of `Embedding` objects. |\n| `timestamp_ms` | The optional timestamp (in milliseconds) of the start of the chunk of data corresponding to these results. This is only used for embedding extraction on time series (e.g. audio embedding). In these use cases, the amount of data to process might exceed the maximum size that the model can process: to solve this, the input data is split into multiple chunks starting at different timestamps. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `__eq__`\n\n __eq__(\n other\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|--------------|--------|\n| timestamp_ms | `None` |\n\n\u003cbr /\u003e"]]