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Deep Learning Practice, Quiz 2

September 2025 term, 23 Nov 2025, Set QDB2

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Question 1

+3−0Single correct

In an embedding-based speaker diarization pipeline, what is the primary role of the
Agglomerative Clustering algorithm?

Select one option

A.
To transcribe the audio segments into text using a model like Whisper.
B.
To extract a 512-dimensional embedding (x-vector) from each audio segment.
C.
To compare the cosine distance between segment embeddings and iteratively merge the closest ones until a target number of speakers is reached.
D.
To detect non-speech segments (Voice Activity Detection) and discard them.

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In an embedding-based speaker diarization pipeline, what is the primary role of the\ Agglomerative Clustering algorithm? In modern Text-to-Speech (TTS) pipelines like Tacotron2 or FastSpeech, what is the specific role of a component like HiFi-GAN or WaveNet? In the Wav2Vec2 pipeline, a 1-second (16000 samples) audio clip is passed to the 'Wav2Vec2Model' and results in a 'last hidden state' of shape (1, 49, 768). What do the dimensions 49 and 768 represent?