In an embedding-based speaker diarization pipeline, what is the primary role of the
Agglomerative Clustering algorithm?
To transcribe the audio segments into text using a model like Whisper.
To extract a 512-dimensional embedding (x-vector) from each audio segment.
To compare the cosine distance between segment embeddings and iteratively merge the closest ones until a target number of speakers is reached.
To detect non-speech segments (Voice Activity Detection) and discard them.
In modern Text-to-Speech (TTS) pipelines like Tacotron2 or FastSpeech, what is the specific role of a component like HiFi-GAN or WaveNet?
To convert the input text into a sequence of phonemes (G2P).
To predict the duration of each phoneme in the sequence.
To convert the intermediate mel-spectrogram representation into a raw audio waveform.
To extract a speaker embedding from a reference audio file.
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?
49 = number of possible phonemes; 768 = batch size.
49 = the model’s hidden dimension; 768 = the downsampled sequence length.
49 = the downsampled sequence length (timesteps); 768 = the model’s hidden feature dimension.
49 = number of attention heads; 768 = the vocabulary size.
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The IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term: 15 questions for 50 marks in 120 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Deep Learning Practice Quiz 2 23 Nov 2025 at a glance |
|---|---|
| Term | September 2025 term |
| Subject | Deep Learning Practice |
| Course code | BSDA5013 |
| Questions | 15 |
| Marks | 50 |
| Duration | 120 min |
| MCQ | 7 |
| MSQ | 5 |
| Numerical | 3 |
| Official paper | IIT M DEGREE AN EXAM QDB2 23 Nov 2025 NEW |
| Negative marking | No negative marking. |
| Updated |
