I want to access audio from a zoom meeting (in real time) from each participant separately. My goal is to get the audio matrix for each participant of the meeting and then mix it myself, preferably using python or matlab.
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I am interested to use an audio raw dataset provided by Spotify Web API in Python. I wonder if the audio sample follows any rules to define the 30sec provided by the preview_url.
preview_url | string | A link to a 30 second preview (MP3 format) of the track. Can be null
Is the 30sec of the track extracted from:
The first 30 sec?
The track after 1 minute?
The track between 1-3mins?
A random part of the track?
Spotify analyses every track and then is able to tell where different parts of the song begin and end.
I suppose that what you hear in the 30s preview is a guess that Spotify makes of what the refrain/main part of the songs is.
Therefore you can't generally say which part is chosen because that is determined by an AI for each song respectively.
In my application, I need to record a conversation between people and there's no room in the physical workflow to take a 20 second sample of each person's voice for the purpose of training the recognizer, nor to ask each person to read a canned passphrase for training. But without doing that, as far as I can tell, there's no way to get speaker identification.
Is there any way to just record, say, 5 people speaking and have the recognizer automatically classify returned text as belonging to one of the 5 distinct people, without previous training?
(For what it's worth, IBM Watson can do this, although it doesn't do it very accurately, in my testing.)
If I understand your question right then Conversation Transcription should be a solution for your scenario, as it will show the speakers as Speaker[x] and iterate for each new speaker, if you don't generate user profiles beforehand.
User voice samples are optional. Without this input, the transcription
will show different speakers, but shown as "Speaker1", "Speaker2",
etc. instead of recognizing as pre-enrolled specific speaker names.
You can get started with the real-time conversation transcription quickstart.
Microsoft Conversation Transcription which is in Preview, now targeting to microphone array device. So the input recording should be recorded by a microphone array. If your recordings are from common microphone, it may not work and you need special configuration. You can also try Batch diarization which support offline transcription with diarizing 2 speakers for now, it will support 2+ speaker very soon, probably in this month.
I have to create a battery analytics application for the car but I don't have real data avilable so I have created an online data generator. This generator (writen in node.js) generates different data for the car battery,speed, position etc. Regarding the position,I want to obtain GPS coordinates (from Openstreetmap) for different paths and integrate them in my generator.Can you suggest me any solution how this can be done?
I want to store and write songs. Are songs all just pitch? If I stored only the pitch of each part of the song and apply the pitch to a bing sound and play it to replicate the song?
I'm very confused.
At minimum you will require a sequence of notes, which have a pitch and duration. This can be improved with chords and other types of polyphony, dynamics (volume or loudness), timbre, etc.
You should look into MIDI technology and related file formats for ideas about such a system, and a possible means for playing your songs on a computer.
I need to extract musical features (note details->pitch, duration, rhythm, loudness, note start time) from a polyphonic (having 2 scores for treble and bass - bass may also have chords) MIDI file. I'm using the jMusic API to extract these details from a MIDI file. My approach is to go through each score, into parts, then phrases and finally notes and extract the details.
With my approach, it's reading all the treble notes first and then the bass notes - but chords are not captured (i.e. only a single note of the chord is taken), and I cannot identify from which point onwards are the bass notes.
So what I tried was to get the note onsets (i.e. the start time of note being played) - since the starting time of both the treble and bass notes at the start of the piece should be same - But I cannot extract the note onset using jMusic API. For each note it shows 0.0.
Is there any way I can identify the voice (treble or bass) of a note? And also all the notes of a chord? How is the voice or note onset for each note stored in MIDI? Is this different for each MIDI file?
Any insight is greatly appreciated. Thanks in advance
You might want to have a look at this question: Actual note duration from MIDI duration
Where a possible approach to extracting notes from a midi file is discussed.
Consider that a MIDI file can be split on multiple tracks (a "type 1" midifile).
Once you have identified notes, identifying chords can still be tricky. Say you have 3 notes: C, E, G happening "at the same time" (i.e. having been identified as being sound at the same point in a measure). When are they to be considered the C major chord?
played on the same channel
played by the same instrument (even if on different channels)
played on the same channel even if they appear on different tracks
Midifile format is very simple (maybe even too simple!!) I suggest you have a look at its description here: http://duskblue.org/proj/toymidi/midiformat.pdf