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Speaker Recognition

10 papers with code · Speech

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Speaker Recognition from Raw Waveform with SincNet

29 Jul 2018mravanelli/SincNet

Rather than employing standard hand-crafted features, the latter CNNs learn low-level speech representations from waveforms, potentially allowing the network to better capture important narrow-band speaker characteristics such as pitch and formants.

SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION

Deep Speaker: an End-to-End Neural Speaker Embedding System

5 May 2017philipperemy/deep-speaker

We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity.

SPEAKER IDENTIFICATION SPEAKER RECOGNITION

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

11 Oct 2018mindslab-ai/voicefilter

In this paper, we present a novel system that separates the voice of a target speaker from multi-speaker signals, by making use of a reference signal from the target speaker.

SPEAKER RECOGNITION SPEAKER SEPARATION SPEECH ENHANCEMENT SPEECH RECOGNITION

VoxCeleb2: Deep Speaker Recognition

14 Jun 2018a-nagrani/VGGVox

The objective of this paper is speaker recognition under noisy and unconstrained conditions.

SPEAKER RECOGNITION

VoxCeleb: a large-scale speaker identification dataset

Interspeech 2018 a-nagrani/VGGVox

Our second contribution is to apply and compare various state of the art speaker identification techniques on our dataset to establish baseline performance.

SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION

Utterance-level Aggregation For Speaker Recognition In The Wild

None 2019 WeidiXie/VGG-Speaker-Recognition

The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals.

SPEAKER RECOGNITION

Utterance-level Aggregation For Speaker Recognition In The Wild

None 2019 WeidiXie/VGG-Speaker-Recognition

The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals.

SPEAKER RECOGNITION TEXT-INDEPENDENT SPEAKER VERIFICATION

Unified Hypersphere Embedding for Speaker Recognition

22 Jul 2018MahdiHajibabaei/unified-embedding

Incremental improvements in accuracy of Convolutional Neural Networks are usually achieved through use of deeper and more complex models trained on larger datasets.

SPEAKER RECOGNITION TEXT-INDEPENDENT SPEAKER RECOGNITION

Attention-Based Models for Text-Dependent Speaker Verification

28 Oct 2017liyongze/lstm_speaker_verification

Attention-based models have recently shown great performance on a range of tasks, such as speech recognition, machine translation, and image captioning due to their ability to summarize relevant information that expands through the entire length of an input sequence.

IMAGE CAPTIONING MACHINE TRANSLATION SPEAKER RECOGNITION SPEECH RECOGNITION TEXT-DEPENDENT SPEAKER VERIFICATION

Additive Margin SincNet for Speaker Recognition

28 Jan 2019joaoantoniocn/AM-SincNet

The Softmax loss function is a widely used function in deep learning methods, but it is not the best choice for all kind of problems.

SPEAKER RECOGNITION